शिक्षक दिवस विशेष – गुरु वंदन @CSharpCorner
Sep 24, 2025
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0:00
Chang.
0:30
Nothing could be more joyful for me this
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Nothing could be more joyful for me this
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Nothing could be more joyful for me this wonderful evening when I have been asked
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wonderful evening when I have been asked
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wonderful evening when I have been asked to propose the welcome address on this
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to propose the welcome address on this
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to propose the welcome address on this auspicious occasion of teachers day
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auspicious occasion of teachers day
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auspicious occasion of teachers day celebration occasion which is absolutely
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celebration occasion which is absolutely
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celebration occasion which is absolutely very critical by it nature. It is
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very critical by it nature. It is
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very critical by it nature. It is something more insightful informative in
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something more insightful informative in
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something more insightful informative in terms of creating a valuedriven
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terms of creating a valuedriven
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terms of creating a valuedriven academics for the entire society for the
0:49
academics for the entire society for the
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academics for the entire society for the inclusive welfare of humanity. It is a
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inclusive welfare of humanity. It is a
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inclusive welfare of humanity. It is a privilege for me to welcome you all on
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privilege for me to welcome you all on
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privilege for me to welcome you all on this auspicious occasion of teachers day
0:55
this auspicious occasion of teachers day
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this auspicious occasion of teachers day celebration. It is a day just not for
0:58
celebration. It is a day just not for
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celebration. It is a day just not for celebration rather for reflection of who
1:01
celebration rather for reflection of who
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celebration rather for reflection of who we are, what we do. How do we create
1:03
we are, what we do. How do we create
1:04
we are, what we do. How do we create inspirational
1:30
If you talk about our role and
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If you talk about our role and
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If you talk about our role and responsibility as a teacher, we all are
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responsibility as a teacher, we all are
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responsibility as a teacher, we all are in the roles of Lord Krishna, Sri
1:36
in the roles of Lord Krishna, Sri
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in the roles of Lord Krishna, Sri Krishna who is there to prepare some
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Krishna who is there to prepare some
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Krishna who is there to prepare some path, some aron across the entire and
1:42
path, some aron across the entire and
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path, some aron across the entire and specifically when the India is
1:43
specifically when the India is
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specifically when the India is struggling. hard to combat with the
1:45
struggling. hard to combat with the
1:45
struggling. hard to combat with the challenge of US tariffs which has been
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challenge of US tariffs which has been
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challenge of US tariffs which has been imposed and we are into a situation
1:50
imposed and we are into a situation
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imposed and we are into a situation where we feel truly quite difficult to
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where we feel truly quite difficult to
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where we feel truly quite difficult to survive and to look into it now the
1:55
survive and to look into it now the
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survive and to look into it now the whole country united and this teachers
1:57
whole country united and this teachers
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whole country united and this teachers day celebration this day particularly
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day celebration this day particularly
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day celebration this day particularly can can become a day of inspiration for
2:02
can can become a day of inspiration for
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can can become a day of inspiration for everybody we can take a oath that we
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everybody we can take a oath that we
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everybody we can take a oath that we would create some of the finest brains
2:06
would create some of the finest brains
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would create some of the finest brains in the minds who would be saping this
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in the minds who would be saping this
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in the minds who would be saping this country as one of the best guru once
2:10
country as one of the best guru once
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country as one of the best guru once again and I recall Dr. Sharpi Radhak
2:14
again and I recall Dr. Sharpi Radhak
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again and I recall Dr. Sharpi Radhak Krishna whose name this day celebrated
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Krishna whose name this day celebrated
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Krishna whose name this day celebrated now the teacher is like a candlestick
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now the teacher is like a candlestick
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now the teacher is like a candlestick which burns itself in order to give
2:23
which burns itself in order to give
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which burns itself in order to give light to others. We are gathered here
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light to others. We are gathered here
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light to others. We are gathered here not just only for the idea of teaching
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not just only for the idea of teaching
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not just only for the idea of teaching discussions rather for to understand the
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discussions rather for to understand the
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discussions rather for to understand the spirit behind it. Now and I recall
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[Music]
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[Music]
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[Music] for
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[Music]
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[Music]
3:07
ready to contribute significantly in
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ready to contribute significantly in
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ready to contribute significantly in pursuit of the inclusive welfare of the
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pursuit of the inclusive welfare of the
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pursuit of the inclusive welfare of the nation. Are we really creating some of
3:13
nation. Are we really creating some of
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nation. Are we really creating some of the citizens? Are we teaching the
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the citizens? Are we teaching the
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the citizens? Are we teaching the students not only merely as a business
3:18
students not only merely as a business
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students not only merely as a business model rather are we looking forward to
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model rather are we looking forward to
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model rather are we looking forward to create some significant difference in
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create some significant difference in
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create some significant difference in terms of quality of citizenship?
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I recall lines of a poet.
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[Music]
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And specifically when I find some
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And specifically when I find some
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And specifically when I find some architects, some pioneers like Sah
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architects, some pioneers like Sah
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architects, some pioneers like Sah Chundraj who has contributed
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Chundraj who has contributed
4:10
Chundraj who has contributed significantly in pursuit of creating the
4:13
significantly in pursuit of creating the
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significantly in pursuit of creating the highest order of academic industrial
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highest order of academic industrial
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highest order of academic industrial college and that makes me truly joyful
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college and that makes me truly joyful
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college and that makes me truly joyful to mention here now and similarly We
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to mention here now and similarly We
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to mention here now and similarly We need some more brains who are coming up
4:23
need some more brains who are coming up
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need some more brains who are coming up now in order to create the outstanding
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now in order to create the outstanding
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now in order to create the outstanding success stories in India and to
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success stories in India and to
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success stories in India and to acknowledge that while we may belong to
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acknowledge that while we may belong to
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acknowledge that while we may belong to several institutions, corporate
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several institutions, corporate
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several institutions, corporate organizations separately but still I
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organizations separately but still I
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organizations separately but still I would say our common purpose is to
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would say our common purpose is to
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would say our common purpose is to nurture the young minds prepare them for
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nurture the young minds prepare them for
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nurture the young minds prepare them for the biggest struggles that are coming
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the biggest struggles that are coming
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the biggest struggles that are coming all to the way to the India to the
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all to the way to the India to the
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all to the way to the India to the Bharat and we can keep the flame of
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Bharat and we can keep the flame of
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Bharat and we can keep the flame of knowledge Burning bright.
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[Music]
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Doctor, civil engineers, chartered
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Doctor, civil engineers, chartered
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Doctor, civil engineers, chartered accountants, industry experts
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accountants, industry experts
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accountants, industry experts connection.
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[Music]
5:57
My dear friends, This is a moment and I
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My dear friends, This is a moment and I
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My dear friends, This is a moment and I must express my deep sense of
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must express my deep sense of
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must express my deep sense of appreciation and profound gratitude to
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appreciation and profound gratitude to
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appreciation and profound gratitude to Sh Mahanji who conceptualized this idea
6:06
Sh Mahanji who conceptualized this idea
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Sh Mahanji who conceptualized this idea of bringing the brightest minds of
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of bringing the brightest minds of
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of bringing the brightest minds of Indian academia all together on this
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Indian academia all together on this
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Indian academia all together on this platform and celebrate this teachers day
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platform and celebrate this teachers day
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platform and celebrate this teachers day and I must express my huge thanks to my
6:17
and I must express my huge thanks to my
6:17
and I must express my huge thanks to my younger brother Atul Gupti Roh Gupti
6:20
younger brother Atul Gupti Roh Gupti
6:20
younger brother Atul Gupti Roh Gupti Stephen Steen is there I'm fan of him
6:22
Stephen Steen is there I'm fan of him
6:22
Stephen Steen is there I'm fan of him now the young brain the young child the
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now the young brain the young child the
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now the young brain the young child the young you know He the way he delivers
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young you know He the way he delivers
6:28
young you know He the way he delivers the talk the way he organizes the events
6:30
the talk the way he organizes the events
6:30
the talk the way he organizes the events that the way 2 million plus
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that the way 2 million plus
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that the way 2 million plus members have been added to this
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members have been added to this
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members have been added to this community of Sishab corner under the
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community of Sishab corner under the
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community of Sishab corner under the inspirational leadership of Shri Mahandi
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inspirational leadership of Shri Mahandi
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inspirational leadership of Shri Mahandi that definitely inspires motivates each
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that definitely inspires motivates each
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that definitely inspires motivates each one of us now why we cannot do it now
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one of us now why we cannot do it now
6:45
one of us now why we cannot do it now why we can't bring the impactful
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why we can't bring the impactful
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why we can't bring the impactful influence in our academia why nurturing
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influence in our academia why nurturing
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influence in our academia why nurturing the young minds the best possible way
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the young minds the best possible way
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the young minds the best possible way Deep
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orchestable.
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[Music]
7:23
[Music]
7:29
Google
7:36
we look into the entire integral aspect
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we look into the entire integral aspect
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we look into the entire integral aspect the prime minister Modi has taken up a
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the prime minister Modi has taken up a
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the prime minister Modi has taken up a lot of initiatives we are trying to
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lot of initiatives we are trying to
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lot of initiatives we are trying to create self-reliant India and this is
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create self-reliant India and this is
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create self-reliant India and this is the moment to launch into the spirit of
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the moment to launch into the spirit of
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the moment to launch into the spirit of the self-reliant India where students
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the self-reliant India where students
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the self-reliant India where students who are studying in various engineering
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who are studying in various engineering
7:51
who are studying in various engineering programs or undergraduate or
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programs or undergraduate or
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programs or undergraduate or postgraduate programs or as a researcher
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postgraduate programs or as a researcher
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postgraduate programs or as a researcher in the research fraternity they must
7:57
in the research fraternity they must
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in the research fraternity they must contribute significantly they must come
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contribute significantly they must come
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contribute significantly they must come up with an idea of serving this nation
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up with an idea of serving this nation
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up with an idea of serving this nation this humanity and it's not merely a
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this humanity and it's not merely a
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this humanity and it's not merely a matter of a nation I would say the
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matter of a nation I would say the
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matter of a nation I would say the entire world is the entire world order
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entire world is the entire world order
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entire world is the entire world order has been challenged entire world order
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has been challenged entire world order
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has been challenged entire world order has created the danger to the entire
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has created the danger to the entire
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has created the danger to the entire humanity
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Can we think of nation builders? Can we
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Can we think of nation builders? Can we
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Can we think of nation builders? Can we think of behaving like one of the most
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think of behaving like one of the most
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think of behaving like one of the most responsible species on Indian
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responsible species on Indian
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responsible species on Indian fraternity? So with these words I would
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fraternity? So with these words I would
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fraternity? So with these words I would simply express my heartfelt thanks once
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simply express my heartfelt thanks once
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simply express my heartfelt thanks once again to the entire shishas fraternity
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again to the entire shishas fraternity
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again to the entire shishas fraternity the all organizers and of course my dear
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the all organizers and of course my dear
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the all organizers and of course my dear friends the colleagues who are in front
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friends the colleagues who are in front
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friends the colleagues who are in front of me on this screen who are from
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of me on this screen who are from
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of me on this screen who are from various parts of India from northern
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various parts of India from northern
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various parts of India from northern India from south south India I could
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India from south south India I could
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India from south south India I could find a lot of faces from different parts
8:50
find a lot of faces from different parts
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find a lot of faces from different parts of India and abroad under the single
8:53
of India and abroad under the single
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of India and abroad under the single mission which had been proposed by Shri
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mission which had been proposed by Shri
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mission which had been proposed by Shri Mahanj we keep on meeting in lot of
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Mahanj we keep on meeting in lot of
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Mahanj we keep on meeting in lot of conferences lot of events is altogether
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conferences lot of events is altogether
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conferences lot of events is altogether organized by under the banner of shishab
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organized by under the banner of shishab
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organized by under the banner of shishab corner. With these words I would take a
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corner. With these words I would take a
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corner. With these words I would take a break. Thank you very much
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break. Thank you very much
9:08
break. Thank you very much Jind.
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Jind.
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Jind. Now I would request my colleague Sri
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Now I would request my colleague Sri
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Now I would request my colleague Sri Atul Gupti to proceed further for the
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Atul Gupti to proceed further for the
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Atul Gupti to proceed further for the further agenda. Thank you.
9:17
further agenda. Thank you.
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further agenda. Thank you. Thank you so much Aisha for this
9:18
Thank you so much Aisha for this
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Thank you so much Aisha for this energetic speech mean lots to us. And
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energetic speech mean lots to us. And
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energetic speech mean lots to us. And before I start I just want to say a
9:23
before I start I just want to say a
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before I start I just want to say a teacher is an artist who saves an
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teacher is an artist who saves an
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teacher is an artist who saves an ordinary person into a diamond. Teachers
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ordinary person into a diamond. Teachers
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ordinary person into a diamond. Teachers are the real heroes. They inspire us
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are the real heroes. They inspire us
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are the real heroes. They inspire us every day. Right. Thank you all our
9:34
every day. Right. Thank you all our
9:34
every day. Right. Thank you all our respected teachers for joining SISA Guru
9:37
respected teachers for joining SISA Guru
9:37
respected teachers for joining SISA Guru Guruan teachers day celebration. Your
9:39
Guruan teachers day celebration. Your
9:39
Guruan teachers day celebration. Your presence made it special. I also want I
9:43
presence made it special. I also want I
9:43
presence made it special. I also want I also want to give a big thanks to our
9:44
also want to give a big thanks to our
9:44
also want to give a big thanks to our founder Mr. Mahes who started this
9:47
founder Mr. Mahes who started this
9:47
founder Mr. Mahes who started this wonderful community in 1999 almost 25
9:50
wonderful community in 1999 almost 25
9:50
wonderful community in 1999 almost 25 years back. Currently this community
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years back. Currently this community
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years back. Currently this community serving more than 3 million users
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serving more than 3 million users
9:55
serving more than 3 million users worldwide. Once let's have a round of
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worldwide. Once let's have a round of
9:57
worldwide. Once let's have a round of applause to Mr. Mah sir found
10:01
applause to Mr. Mah sir found
10:01
applause to Mr. Mah sir found May I request each one of you to put a
10:03
May I request each one of you to put a
10:03
May I request each one of you to put a huge rounds of approach a virtual
10:05
huge rounds of approach a virtual
10:05
huge rounds of approach a virtual approach in the honor of Sri Mahes Chan
10:08
approach in the honor of Sri Mahes Chan
10:08
approach in the honor of Sri Mahes Chan the true guru the true teacher who is
10:10
the true guru the true teacher who is
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the true guru the true teacher who is there on the screen. This is I take this
10:13
there on the screen. This is I take this
10:13
there on the screen. This is I take this opportunity to introduce Shri Mahani the
10:15
opportunity to introduce Shri Mahani the
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opportunity to introduce Shri Mahani the founder the businessary behind the
10:17
founder the businessary behind the
10:17
founder the businessary behind the establishment of Shishar Corner and a
10:20
establishment of Shishar Corner and a
10:20
establishment of Shishar Corner and a global technology leader and
10:22
global technology leader and
10:22
global technology leader and entrepreneur who turned his passion into
10:25
entrepreneur who turned his passion into
10:25
entrepreneur who turned his passion into a platform called Sishar Corner. One of
10:28
a platform called Sishar Corner. One of
10:28
a platform called Sishar Corner. One of the biggest and the largest developers
10:31
the biggest and the largest developers
10:31
the biggest and the largest developers community with 3 million plus members
10:35
community with 3 million plus members
10:35
community with 3 million plus members and the driving force behind the Mind
10:37
and the driving force behind the Mind
10:37
and the driving force behind the Mind Cracker Inc. and shisharping. He pushes
10:40
Cracker Inc. and shisharping. He pushes
10:40
Cracker Inc. and shisharping. He pushes the boundaries of cloud, AI, blockchain
10:43
the boundaries of cloud, AI, blockchain
10:43
the boundaries of cloud, AI, blockchain bly empowering people and businesses to
10:46
bly empowering people and businesses to
10:46
bly empowering people and businesses to innovate. Recognized as a Microsoft
10:49
innovate. Recognized as a Microsoft
10:49
innovate. Recognized as a Microsoft regional director and 11time Microsoft
10:53
regional director and 11time Microsoft
10:53
regional director and 11time Microsoft MVP, Mr. Mah is also a respected author,
10:56
MVP, Mr. Mah is also a respected author,
10:56
MVP, Mr. Mah is also a respected author, the mentor international speaker whose
10:59
the mentor international speaker whose
10:59
the mentor international speaker whose influence reaches to the millions. Now I
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influence reaches to the millions. Now I
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influence reaches to the millions. Now I request the great pioneer Sri Mah G to
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request the great pioneer Sri Mah G to
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request the great pioneer Sri Mah G to take up the stage and proceed further
11:07
take up the stage and proceed further
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take up the stage and proceed further for gratitude speech as to be proposed
11:11
for gratitude speech as to be proposed
11:11
for gratitude speech as to be proposed as per the agenda of this event. Thank
11:12
as per the agenda of this event. Thank
11:12
as per the agenda of this event. Thank you. Over to Shri Mahan G.
11:17
you. Over to Shri Mahan G.
11:17
you. Over to Shri Mahan G. Thank you Abd that was amazing inspiring
11:19
Thank you Abd that was amazing inspiring
11:19
Thank you Abd that was amazing inspiring speech. Um you know my wrong I'm like
11:22
speech. Um you know my wrong I'm like
11:22
speech. Um you know my wrong I'm like I'm college again. I'm listening to you
11:25
I'm college again. I'm listening to you
11:25
I'm college again. I'm listening to you know the chabi janiari parade again. I'm
11:28
know the chabi janiari parade again. I'm
11:28
know the chabi janiari parade again. I'm you know I'm I come from village. It's
11:29
you know I'm I come from village. It's
11:29
you know I'm I come from village. It's very inspiring and u amazing to see
11:32
very inspiring and u amazing to see
11:32
very inspiring and u amazing to see everybody here all of you are the future
11:36
everybody here all of you are the future
11:36
everybody here all of you are the future of the nation and of course you said it
11:40
of the nation and of course you said it
11:40
of the nation and of course you said it right that teacher is something that
11:41
right that teacher is something that
11:42
right that teacher is something that changes generations doctor can change
11:44
changes generations doctor can change
11:44
changes generations doctor can change one life doctor can change thousand
11:46
one life doctor can change thousand
11:46
one life doctor can change thousand lives in his lifetime teacher can change
11:49
lives in his lifetime teacher can change
11:49
lives in his lifetime teacher can change generation and my personal belief is
11:51
generation and my personal belief is
11:51
generation and my personal belief is that a child has only two true teachers
11:56
that a child has only two true teachers
11:56
that a child has only two true teachers first is mother and second is the
11:58
first is mother and second is the
11:58
first is mother and second is the teacher who is teaching them right
12:00
teacher who is teaching them right
12:00
teacher who is teaching them right because that's influences more than
12:02
because that's influences more than
12:02
because that's influences more than anybody and we can see from generations
12:04
anybody and we can see from generations
12:04
anybody and we can see from generations and generations
12:06
and generations
12:06
and generations um
12:08
um
12:08
um and I'll tell a little behind the story
12:10
and I'll tell a little behind the story
12:10
and I'll tell a little behind the story why we started C# corner I don't share
12:12
why we started C# corner I don't share
12:12
why we started C# corner I don't share this with a lot of people and this is
12:14
this with a lot of people and this is
12:14
this with a lot of people and this is very important is uh as you all are the
12:18
very important is uh as you all are the
12:18
very important is uh as you all are the teachers and you are leading generations
12:20
teachers and you are leading generations
12:20
teachers and you are leading generations you know every year new students come
12:22
you know every year new students come
12:22
you know every year new students come and you just you know you have other
12:24
and you just you know you have other
12:24
and you just you know you have other generation coming to you all the time
12:27
generation coming to you all the time
12:27
generation coming to you all the time when I came to India I mean to US in
12:29
when I came to India I mean to US in
12:29
when I came to India I mean to US in 1998 February.
12:32
1998 February.
12:32
1998 February. Um
12:34
Um
12:34
Um in computer science there were like zero
12:36
in computer science there were like zero
12:36
in computer science there were like zero Indian authors. Nobody knew India.
12:39
Indian authors. Nobody knew India.
12:39
Indian authors. Nobody knew India. Nobody knew if computer science is
12:41
Nobody knew if computer science is
12:41
Nobody knew if computer science is really anything in India. Sure we were
12:43
really anything in India. Sure we were
12:43
really anything in India. Sure we were becoming programmer at that time. We
12:45
becoming programmer at that time. We
12:45
becoming programmer at that time. We were doing lot of coding but working
12:48
were doing lot of coding but working
12:48
were doing lot of coding but working companies. We are reading all these
12:50
companies. We are reading all these
12:50
companies. We are reading all these programming books from other authors
12:52
programming books from other authors
12:52
programming books from other authors from US and Europe. Right? You look at
12:55
from US and Europe. Right? You look at
12:55
from US and Europe. Right? You look at the C++. Oh, this is this that author
12:58
the C++. Oh, this is this that author
12:58
the C++. Oh, this is this that author this that author. So that's what we did.
13:00
this that author. So that's what we did.
13:00
this that author. So that's what we did. So we always
13:03
So we always
13:03
So we always always look look you know we always
13:05
always look look you know we always
13:05
always look look you know we always influenced by the west and this is has
13:07
influenced by the west and this is has
13:07
influenced by the west and this is has been for long time especially in
13:10
been for long time especially in
13:10
been for long time especially in computer science and I'm only talking
13:12
computer science and I'm only talking
13:12
computer science and I'm only talking about computer science here. So I tried
13:16
about computer science here. So I tried
13:16
about computer science here. So I tried to publish some papers in these
13:18
to publish some papers in these
13:18
to publish some papers in these magazines MSD and Microsoft has this
13:20
magazines MSD and Microsoft has this
13:20
magazines MSD and Microsoft has this magazine MSDN magazine. They rejected my
13:22
magazine MSDN magazine. They rejected my
13:22
magazine MSDN magazine. They rejected my paper. They're like well your English is
13:24
paper. They're like well your English is
13:24
paper. They're like well your English is not good. Then you know same thing I
13:27
not good. Then you know same thing I
13:27
not good. Then you know same thing I tried to you know do different thing
13:28
tried to you know do different thing
13:28
tried to you know do different thing publish a book and then they rejected
13:31
publish a book and then they rejected
13:31
publish a book and then they rejected you said then I start thinking that
13:34
you said then I start thinking that
13:34
you said then I start thinking that there's a lot of people like me who
13:36
there's a lot of people like me who
13:36
there's a lot of people like me who don't get this opportunity because they
13:38
don't get this opportunity because they
13:38
don't get this opportunity because they come from the background where they're
13:40
come from the background where they're
13:40
come from the background where they're not they don't have this sophisticated
13:42
not they don't have this sophisticated
13:42
not they don't have this sophisticated English language so what can we do and
13:46
English language so what can we do and
13:46
English language so what can we do and I've always been a believer is that I am
13:48
I've always been a believer is that I am
13:48
I've always been a believer is that I am a biggest risk taker I try to do things
13:51
a biggest risk taker I try to do things
13:51
a biggest risk taker I try to do things I don't hold back and
13:56
I don't hold back and
13:56
I don't hold back and That's why one thing I want to explain
13:58
That's why one thing I want to explain
13:58
That's why one thing I want to explain here is that these three guys, four guys
14:00
here is that these three guys, four guys
14:00
here is that these three guys, four guys here, Simon is here, Rohit is here, Rul
14:02
here, Simon is here, Rohit is here, Rul
14:02
here, Simon is here, Rohit is here, Rul is here and you said it right of the
14:04
is here and you said it right of the
14:04
is here and you said it right of the that Simon is leading this charge. He's
14:06
that Simon is leading this charge. He's
14:06
that Simon is leading this charge. He's changing lives. this hack India kind of
14:09
changing lives. this hack India kind of
14:09
changing lives. this hack India kind of movement the all webinars we're doing at
14:13
movement the all webinars we're doing at
14:13
movement the all webinars we're doing at this today we may not realize that but
14:15
this today we may not realize that but
14:15
this today we may not realize that but you everybody Simon you're changing
14:17
you everybody Simon you're changing
14:18
you everybody Simon you're changing lives of it students they will remember
14:20
lives of it students they will remember
14:20
lives of it students they will remember you forever and that impact goes way
14:24
you forever and that impact goes way
14:24
you forever and that impact goes way beyond just that one life it's changing
14:26
beyond just that one life it's changing
14:26
beyond just that one life it's changing generations
14:28
generations
14:28
generations same thing with Atul he's been doing all
14:29
same thing with Atul he's been doing all
14:29
same thing with Atul he's been doing all these college and we doing these
14:31
these college and we doing these
14:31
these college and we doing these conferences and now Rohit is leading the
14:33
conferences and now Rohit is leading the
14:34
conferences and now Rohit is leading the charge also he's going besides his
14:35
charge also he's going besides his
14:36
charge also he's going besides his full-time job he works he's on part-time
14:38
full-time job he works he's on part-time
14:38
full-time job he works he's on part-time jobs and weekends he's going to these
14:40
jobs and weekends he's going to these
14:40
jobs and weekends he's going to these colleges inspiring and teaching as much
14:43
colleges inspiring and teaching as much
14:43
colleges inspiring and teaching as much as he can. Right? So these things you're
14:45
as he can. Right? So these things you're
14:45
as he can. Right? So these things you're changing lives every moment you are
14:47
changing lives every moment you are
14:47
changing lives every moment you are giving your time your precious time.
14:50
giving your time your precious time.
14:50
giving your time your precious time. Most important thing we have in our
14:52
Most important thing we have in our
14:52
Most important thing we have in our lives is I believe is the time is our
14:54
lives is I believe is the time is our
14:54
lives is I believe is the time is our most precious you know asset we have
14:57
most precious you know asset we have
14:57
most precious you know asset we have everything else can be earned but time
14:59
everything else can be earned but time
14:59
everything else can be earned but time cannot be earned. Whatever time I'm
15:01
cannot be earned. Whatever time I'm
15:01
cannot be earned. Whatever time I'm spending you are spending right now
15:03
spending you are spending right now
15:03
spending you are spending right now today this can never be earned. No
15:05
today this can never be earned. No
15:05
today this can never be earned. No matter you spend millions or millions of
15:06
matter you spend millions or millions of
15:06
matter you spend millions or millions of dollars.
15:08
dollars.
15:08
dollars. So all of you guys are inspiring day
15:11
So all of you guys are inspiring day
15:11
So all of you guys are inspiring day every day. All the teachers who are
15:13
every day. All the teachers who are
15:13
every day. All the teachers who are putting you know teachers work you know
15:15
putting you know teachers work you know
15:15
putting you know teachers work you know days nights off you know everybody's on
15:17
days nights off you know everybody's on
15:18
days nights off you know everybody's on vacation teachers are planning next
15:19
vacation teachers are planning next
15:19
vacation teachers are planning next year. So all respect to all you with
15:23
year. So all respect to all you with
15:23
year. So all respect to all you with that let me get back to my story. So I
15:26
that let me get back to my story. So I
15:26
that let me get back to my story. So I got rejected by all these. So I said you
15:28
got rejected by all these. So I said you
15:28
got rejected by all these. So I said you know what there's a lot of people like
15:30
know what there's a lot of people like
15:30
know what there's a lot of people like me who probably need this chance. And
15:33
me who probably need this chance. And
15:33
me who probably need this chance. And then I started this community carer. The
15:35
then I started this community carer. The
15:35
then I started this community carer. The idea was anything I'm learning I will
15:39
idea was anything I'm learning I will
15:39
idea was anything I'm learning I will just share with everybody
15:41
just share with everybody
15:41
just share with everybody and rest is the history. But one thing
15:44
and rest is the history. But one thing
15:44
and rest is the history. But one thing has always been focus is that I whatever
15:47
has always been focus is that I whatever
15:47
has always been focus is that I whatever I'm learning here in the US I want to
15:50
I'm learning here in the US I want to
15:50
I'm learning here in the US I want to take back to India. I want our guys to
15:53
take back to India. I want our guys to
15:53
take back to India. I want our guys to learn what US is doing. I want to I
15:55
learn what US is doing. I want to I
15:55
learn what US is doing. I want to I learn a lot from US. I am a little
15:58
learn a lot from US. I am a little
15:58
learn a lot from US. I am a little different you know when people from
16:00
different you know when people from
16:00
different you know when people from India come here. What they do is they
16:04
India come here. What they do is they
16:04
India come here. What they do is they join other Indian communities. They
16:06
join other Indian communities. They
16:06
join other Indian communities. They always hang out with Indians and they're
16:08
always hang out with Indians and they're
16:08
always hang out with Indians and they're they're all India. That's great. I was
16:10
they're all India. That's great. I was
16:10
they're all India. That's great. I was different. I like I want to learn why
16:12
different. I like I want to learn why
16:12
different. I like I want to learn why this America is so successful. So I
16:15
this America is so successful. So I
16:15
this America is so successful. So I always want I always been with
16:17
always want I always been with
16:17
always want I always been with Americans. I if you look at my friend
16:19
Americans. I if you look at my friend
16:19
Americans. I if you look at my friend circle they're 99% are Americans because
16:22
circle they're 99% are Americans because
16:22
circle they're 99% are Americans because that's how I learn. I want to see what
16:23
that's how I learn. I want to see what
16:23
that's how I learn. I want to see what why is America so so you know rich and
16:27
why is America so so you know rich and
16:27
why is America so so you know rich and wealthy. And what I learned is there are
16:28
wealthy. And what I learned is there are
16:28
wealthy. And what I learned is there are a lot of things they have good lot of
16:29
a lot of things they have good lot of
16:29
a lot of things they have good lot of good things they have lot of bad things
16:31
good things they have lot of bad things
16:31
good things they have lot of bad things they have great but we don't care about
16:33
they have great but we don't care about
16:33
they have great but we don't care about bad we are just taking good things and
16:35
bad we are just taking good things and
16:35
bad we are just taking good things and one of the thing they have is it's
16:38
one of the thing they have is it's
16:38
one of the thing they have is it's called these communitydriven events
16:40
called these communitydriven events
16:40
called these communitydriven events these sharing like every week you go
16:43
these sharing like every week you go
16:43
these sharing like every week you go every evening there's some kind of
16:45
every evening there's some kind of
16:45
every evening there's some kind of networking event happening it could be
16:48
networking event happening it could be
16:48
networking event happening it could be related to business could be related to
16:50
related to business could be related to
16:50
related to business could be related to finance banking every industry has this
16:53
finance banking every industry has this
16:53
finance banking every industry has this evening they all after work 5:00 p.m.
16:58
evening they all after work 5:00 p.m.
16:58
evening they all after work 5:00 p.m. once or twice a week everybody get
17:00
once or twice a week everybody get
17:00
once or twice a week everybody get involved in these networking events.
17:03
involved in these networking events.
17:03
involved in these networking events. That's one big part. Second part I
17:05
That's one big part. Second part I
17:05
That's one big part. Second part I learned is there are big big big u uh
17:10
learned is there are big big big u uh
17:10
learned is there are big big big u uh groups where like every college has
17:12
groups where like every college has
17:12
groups where like every college has their own alimony system. So if you
17:15
their own alimony system. So if you
17:15
their own alimony system. So if you graduate from Harvard, their aluminous
17:18
graduate from Harvard, their aluminous
17:18
graduate from Harvard, their aluminous system is so strong that anybody who
17:21
system is so strong that anybody who
17:21
system is so strong that anybody who graduate, he can call anybody graduated
17:23
graduate, he can call anybody graduated
17:23
graduate, he can call anybody graduated from Harvard 20, 30, 40 years ago. They
17:27
from Harvard 20, 30, 40 years ago. They
17:27
from Harvard 20, 30, 40 years ago. They will reply the call. They could be the
17:28
will reply the call. They could be the
17:28
will reply the call. They could be the CEO of Microsoft or CEO of IBM. They
17:32
CEO of Microsoft or CEO of IBM. They
17:32
CEO of Microsoft or CEO of IBM. They will reply your call and they'll help
17:34
will reply your call and they'll help
17:34
will reply your call and they'll help you. That's why America America is
17:37
you. That's why America America is
17:37
you. That's why America America is strong because young generation gets
17:39
strong because young generation gets
17:39
strong because young generation gets help
17:41
help
17:41
help not only through these networking
17:43
not only through these networking
17:43
not only through these networking events, not only through resources but
17:45
events, not only through resources but
17:45
events, not only through resources but also the leaders they give back. In
17:48
also the leaders they give back. In
17:48
also the leaders they give back. In India, we don't do enough. And I'm not
17:50
India, we don't do enough. And I'm not
17:50
India, we don't do enough. And I'm not saying everybody doesn't do that. Some
17:52
saying everybody doesn't do that. Some
17:52
saying everybody doesn't do that. Some people do, a lot of people do. But once
17:54
people do, a lot of people do. But once
17:54
people do, a lot of people do. But once we get rich, we get wealthy, we start
17:56
we get rich, we get wealthy, we start
17:56
we get rich, we get wealthy, we start our own companies, we forget. We forget
17:59
our own companies, we forget. We forget
17:59
our own companies, we forget. We forget where we come from.
18:01
where we come from.
18:01
where we come from. We stop giving back and we just focus on
18:04
We stop giving back and we just focus on
18:04
We stop giving back and we just focus on ourselves. Look at our politicians. Once
18:07
ourselves. Look at our politicians. Once
18:07
ourselves. Look at our politicians. Once they become the top politician, they
18:09
they become the top politician, they
18:09
they become the top politician, they stop forget about the that is the
18:11
stop forget about the that is the
18:11
stop forget about the that is the biggest difference I found is with all
18:14
biggest difference I found is with all
18:14
biggest difference I found is with all these events, conferences, chapter
18:16
these events, conferences, chapter
18:16
these events, conferences, chapter leaders, what we try all these college
18:18
leaders, what we try all these college
18:18
leaders, what we try all these college things. Our goal really has been just
18:21
things. Our goal really has been just
18:21
things. Our goal really has been just simple is that what industry is doing,
18:23
simple is that what industry is doing,
18:24
simple is that what industry is doing, what they are working on, what they're
18:25
what they are working on, what they're
18:25
what they are working on, what they're building it, how can we bring some piece
18:28
building it, how can we bring some piece
18:28
building it, how can we bring some piece of it to these students, younger
18:30
of it to these students, younger
18:30
of it to these students, younger generation so they can get inspired
18:33
generation so they can get inspired
18:33
generation so they can get inspired that has always been the mantra and
18:35
that has always been the mantra and
18:35
that has always been the mantra and that's why you know it's a whatever
18:37
that's why you know it's a whatever
18:37
that's why you know it's a whatever success we got in that and it requires a
18:40
success we got in that and it requires a
18:40
success we got in that and it requires a lot of effort a lot of work and that's
18:42
lot of effort a lot of work and that's
18:42
lot of effort a lot of work and that's where you know all these guys at Rohit
18:44
where you know all these guys at Rohit
18:44
where you know all these guys at Rohit and Simon they're doing this is their
18:47
and Simon they're doing this is their
18:47
and Simon they're doing this is their work really I am just come here and show
18:50
work really I am just come here and show
18:50
work really I am just come here and show for a little bit. But these are the
18:51
for a little bit. But these are the
18:51
for a little bit. But these are the guys. So thanks to these guys and thank
18:53
guys. So thanks to these guys and thank
18:53
guys. So thanks to these guys and thank you all of you for being here.
18:56
you all of you for being here.
18:56
you all of you for being here. And then today one other thing I'll
18:58
And then today one other thing I'll
18:58
And then today one other thing I'll cover and then we leave it to the
19:00
cover and then we leave it to the
19:00
cover and then we leave it to the question and answer is because I want to
19:02
question and answer is because I want to
19:02
question and answer is because I want to make sure we we talk more than just you
19:05
make sure we we talk more than just you
19:05
make sure we we talk more than just you know me saying oh let me let me teach
19:09
know me saying oh let me let me teach
19:09
know me saying oh let me let me teach and train and see how good I am. I
19:11
and train and see how good I am. I
19:11
and train and see how good I am. I always been a communicator. I'm not a
19:12
always been a communicator. I'm not a
19:12
always been a communicator. I'm not a teacher. I don't teach. I I don't
19:14
teacher. I don't teach. I I don't
19:14
teacher. I don't teach. I I don't educate. I'm more like a discuss thing.
19:16
educate. I'm more like a discuss thing.
19:16
educate. I'm more like a discuss thing. That's what I've been um even. So today
19:20
That's what I've been um even. So today
19:20
That's what I've been um even. So today I want to talk about generative AI and
19:22
I want to talk about generative AI and
19:22
I want to talk about generative AI and Rohit touched upon that big time and Abd
19:25
Rohit touched upon that big time and Abd
19:25
Rohit touched upon that big time and Abd you touched a lot on that. Generative AI
19:28
you touched a lot on that. Generative AI
19:28
you touched a lot on that. Generative AI is here and we as teachers must think
19:32
is here and we as teachers must think
19:32
is here and we as teachers must think about this really in government too. I
19:34
about this really in government too. I
19:34
about this really in government too. I don't know. I'm sure they're they're
19:35
don't know. I'm sure they're they're
19:35
don't know. I'm sure they're they're thinking about it big time. But this
19:39
thinking about it big time. But this
19:39
thinking about it big time. But this generative AI mostly let's say led by
19:42
generative AI mostly let's say led by
19:42
generative AI mostly let's say led by open AI and Chad GPT
19:45
open AI and Chad GPT
19:45
open AI and Chad GPT it's actually a huge problem for India
19:48
it's actually a huge problem for India
19:48
it's actually a huge problem for India and I would say this is probably the
19:49
and I would say this is probably the
19:49
and I would say this is probably the biggest slavery India can ever have.
19:53
biggest slavery India can ever have.
19:53
biggest slavery India can ever have. It's bigger than even British. When
19:56
It's bigger than even British. When
19:56
It's bigger than even British. When British came they ruled they slave us
20:00
British came they ruled they slave us
20:00
British came they ruled they slave us physically. They didn't slave us
20:01
physically. They didn't slave us
20:01
physically. They didn't slave us mentally. But what generative AI can do
20:04
mentally. But what generative AI can do
20:04
mentally. But what generative AI can do and it has potential to do is slave us
20:07
and it has potential to do is slave us
20:07
and it has potential to do is slave us mentally. It can brainwash us because
20:11
mentally. It can brainwash us because
20:11
mentally. It can brainwash us because chat GPT LLM behind us in this GT GPD5
20:14
chat GPT LLM behind us in this GT GPD5
20:14
chat GPT LLM behind us in this GT GPD5 that's like a magic ball and everybody's
20:17
that's like a magic ball and everybody's
20:17
that's like a magic ball and everybody's going to it and asking questions and we
20:20
going to it and asking questions and we
20:20
going to it and asking questions and we think that anything come from GPT is
20:22
think that anything come from GPT is
20:22
think that anything come from GPT is truth and fact and we believe in that
20:24
truth and fact and we believe in that
20:24
truth and fact and we believe in that which some of it is most of it is 99.99%
20:29
which some of it is most of it is 99.99%
20:29
which some of it is most of it is 99.99% it is
20:31
it is
20:31
it is but it's all trained on the data that it
20:35
but it's all trained on the data that it
20:35
but it's all trained on the data that it has taken from the internet and western
20:37
has taken from the internet and western
20:38
has taken from the internet and western books, western content. So it's
20:40
books, western content. So it's
20:40
books, western content. So it's influenced by western.
20:43
influenced by western.
20:43
influenced by western. So the entire AI today you see is
20:45
So the entire AI today you see is
20:45
So the entire AI today you see is influenced by western world. It's not
20:47
influenced by western world. It's not
20:48
influenced by western world. It's not influenced by Indian world. It has not
20:51
influenced by Indian world. It has not
20:51
influenced by Indian world. It has not taken content written by Indian. It has
20:53
taken content written by Indian. It has
20:53
taken content written by Indian. It has not taken Indian philosophy. Some it has
20:55
not taken Indian philosophy. Some it has
20:55
not taken Indian philosophy. Some it has but when you come to generic answers
20:58
but when you come to generic answers
20:58
but when you come to generic answers they will all be it's like going to
21:00
they will all be it's like going to
21:00
they will all be it's like going to Twitter. It's like going to Facebook and
21:04
Twitter. It's like going to Facebook and
21:04
Twitter. It's like going to Facebook and and that's where it's going to be a big
21:06
and that's where it's going to be a big
21:06
and that's where it's going to be a big challenge for India. If young generation
21:08
challenge for India. If young generation
21:08
challenge for India. If young generation is asking Chad GPT, if I'm a sixth grade
21:11
is asking Chad GPT, if I'm a sixth grade
21:11
is asking Chad GPT, if I'm a sixth grade student in a school and talking to Chad
21:13
student in a school and talking to Chad
21:13
student in a school and talking to Chad GPT all the time, they will very they
21:16
GPT all the time, they will very they
21:16
GPT all the time, they will very they will not learn a lot about India Indian
21:18
will not learn a lot about India Indian
21:18
will not learn a lot about India Indian philosophy. So we as a teachers, I don't
21:21
philosophy. So we as a teachers, I don't
21:21
philosophy. So we as a teachers, I don't know what we can do. We need to really
21:23
know what we can do. We need to really
21:23
know what we can do. We need to really think about it and I think government is
21:26
think about it and I think government is
21:26
think about it and I think government is trying to build their own AI. They're
21:28
trying to build their own AI. They're
21:28
trying to build their own AI. They're trying to do that. So it'll be a
21:30
trying to do that. So it'll be a
21:30
trying to do that. So it'll be a challenging time and I don't know the
21:32
challenging time and I don't know the
21:32
challenging time and I don't know the answer right now but at least we should
21:34
answer right now but at least we should
21:34
answer right now but at least we should start thinking about that whatever this
21:37
start thinking about that whatever this
21:37
start thinking about that whatever this AI generated AI we are using we're also
21:40
AI generated AI we are using we're also
21:40
AI generated AI we are using we're also giving it our data so now it's learning
21:43
giving it our data so now it's learning
21:43
giving it our data so now it's learning more about so the way Facebook has
21:45
more about so the way Facebook has
21:45
more about so the way Facebook has manipulated
21:47
manipulated
21:47
manipulated the way
21:48
the way
21:48
the way social media has manipulated
21:51
social media has manipulated
21:51
social media has manipulated it has actually been worsened for India
21:53
it has actually been worsened for India
21:53
it has actually been worsened for India and I'll give you an example
21:57
and I'll give you an example
21:57
and I'll give you an example in India in village is and I see both
22:00
in India in village is and I see both
22:00
in India in village is and I see both world. I'm in US, I'm in New York. I see
22:02
world. I'm in US, I'm in New York. I see
22:02
world. I'm in US, I'm in New York. I see people in New York. I see people in
22:04
people in New York. I see people in
22:04
people in New York. I see people in Philadelphia. I see people in Delhi,
22:06
Philadelphia. I see people in Delhi,
22:06
Philadelphia. I see people in Delhi, Noa. I see people in village. The people
22:08
Noa. I see people in village. The people
22:08
Noa. I see people in village. The people in village, they are on social media.
22:11
in village, they are on social media.
22:11
in village, they are on social media. They're watching my lifestyle.
22:14
They're watching my lifestyle.
22:14
They're watching my lifestyle. For them, they see that they can also
22:16
For them, they see that they can also
22:16
For them, they see that they can also have the same lifestyle.
22:19
have the same lifestyle.
22:19
have the same lifestyle. But they don't understand that to reach
22:21
But they don't understand that to reach
22:21
But they don't understand that to reach there it might take 25 years. Not only
22:24
there it might take 25 years. Not only
22:24
there it might take 25 years. Not only 25 years, how much hard work it take?
22:26
25 years, how much hard work it take?
22:26
25 years, how much hard work it take? They don't know that part. So all they
22:28
They don't know that part. So all they
22:28
They don't know that part. So all they see is the oh I want this car I want
22:30
see is the oh I want this car I want
22:30
see is the oh I want this car I want this car I want this car. So they are
22:33
this car I want this car. So they are
22:33
this car I want this car. So they are behind that this is nothing but a pure
22:36
behind that this is nothing but a pure
22:36
behind that this is nothing but a pure manipulation mind where they start
22:39
manipulation mind where they start
22:39
manipulation mind where they start acting like western world or people who
22:41
acting like western world or people who
22:41
acting like western world or people who are wealthy and rich rather than
22:45
are wealthy and rich rather than
22:45
are wealthy and rich rather than focusing on the foundations and that's
22:46
focusing on the foundations and that's
22:46
focusing on the foundations and that's creating a lot of problem villages I see
22:48
creating a lot of problem villages I see
22:48
creating a lot of problem villages I see that so AI will even boost that multiple
22:53
that so AI will even boost that multiple
22:53
that so AI will even boost that multiple times what social media has done.
22:56
times what social media has done.
22:56
times what social media has done. So this is something as a teachers I
22:59
So this is something as a teachers I
22:59
So this is something as a teachers I think this the content
23:04
think this the content
23:04
think this the content content part you probably should
23:05
content part you probably should
23:05
content part you probably should definitely start talking about to in
23:07
definitely start talking about to in
23:07
definitely start talking about to in your in your curriculum or your classes
23:09
your in your curriculum or your classes
23:09
your in your curriculum or your classes to students that what is generative AI
23:13
to students that what is generative AI
23:13
to students that what is generative AI it's not really AI to be honest it's
23:15
it's not really AI to be honest it's
23:16
it's not really AI to be honest it's really it's not intelligent one part we
23:17
really it's not intelligent one part we
23:18
really it's not intelligent one part we need to take it out is artificial
23:20
need to take it out is artificial
23:20
need to take it out is artificial intelligent is could be intelligent
23:23
intelligent is could be intelligent
23:23
intelligent is could be intelligent but when it's come to generative AI it's
23:26
but when it's come to generative AI it's
23:26
but when it's come to generative AI it's not intelligent
23:28
not intelligent
23:28
not intelligent all it is doing is based on the old
23:30
all it is doing is based on the old
23:30
all it is doing is based on the old content the previous content is
23:32
content the previous content is
23:32
content the previous content is generating new content that's all it is
23:34
generating new content that's all it is
23:34
generating new content that's all it is doing so all AI hype we are talking
23:37
doing so all AI hype we are talking
23:37
doing so all AI hype we are talking about chat GPD all that it can do a lot
23:39
about chat GPD all that it can do a lot
23:39
about chat GPD all that it can do a lot of things yes it can go and write me a
23:42
of things yes it can go and write me a
23:42
of things yes it can go and write me a research paper which will take me
23:44
research paper which will take me
23:44
research paper which will take me probably 6 months to write it can write
23:45
probably 6 months to write it can write
23:46
probably 6 months to write it can write in a second that's great that's amazing
23:48
in a second that's great that's amazing
23:48
in a second that's great that's amazing it's a great innovation but it doesn't
23:51
it's a great innovation but it doesn't
23:51
it's a great innovation but it doesn't come with new ideas it does not come
23:54
come with new ideas it does not come
23:54
come with new ideas it does not come with new research it does not come with
23:56
with new research it does not come with
23:56
with new research it does not come with new innovations. It doesn't think of its
23:58
new innovations. It doesn't think of its
23:58
new innovations. It doesn't think of its own. All it does is takes takes from the
24:01
own. All it does is takes takes from the
24:01
own. All it does is takes takes from the old content and give you the content. So
24:05
old content and give you the content. So
24:05
old content and give you the content. So this is the world we are in generative
24:07
this is the world we are in generative
24:07
this is the world we are in generative AI. So when you are I think all students
24:12
AI. So when you are I think all students
24:12
AI. So when you are I think all students should learn how to start using
24:13
should learn how to start using
24:13
should learn how to start using generative AI. They already are. But as
24:16
generative AI. They already are. But as
24:16
generative AI. They already are. But as a teacher you should try to explain them
24:19
a teacher you should try to explain them
24:19
a teacher you should try to explain them what exactly it is. It is a generative
24:22
what exactly it is. It is a generative
24:22
what exactly it is. It is a generative AI that's generating new content based
24:26
AI that's generating new content based
24:26
AI that's generating new content based on the previous historic content it
24:29
on the previous historic content it
24:29
on the previous historic content it already has. That is all. If you tell
24:31
already has. That is all. If you tell
24:31
already has. That is all. If you tell generative AI that you know build a
24:33
generative AI that you know build a
24:33
generative AI that you know build a system which no nobody has heard of it,
24:35
system which no nobody has heard of it,
24:36
system which no nobody has heard of it, it will not know what it is. So that's
24:39
it will not know what it is. So that's
24:39
it will not know what it is. So that's something we need to keep in mind and as
24:41
something we need to keep in mind and as
24:41
something we need to keep in mind and as I mentioned this the the the brain
24:44
I mentioned this the the the brain
24:44
I mentioned this the the the brain behind generative AI are these language
24:46
behind generative AI are these language
24:46
behind generative AI are these language models. these models not language models
24:49
models. these models not language models
24:49
models. these models not language models models and one is large language model
24:52
models and one is large language model
24:52
models and one is large language model large language models is the one that
24:54
large language models is the one that
24:54
large language models is the one that creates text content that generates text
24:57
creates text content that generates text
24:57
creates text content that generates text content such as GPD and there are models
25:00
content such as GPD and there are models
25:00
content such as GPD and there are models like there models for videos models for
25:03
like there models for videos models for
25:03
like there models for videos models for pictures there a lot of models like that
25:06
pictures there a lot of models like that
25:06
pictures there a lot of models like that so if you are encouraging your students
25:10
so if you are encouraging your students
25:10
so if you are encouraging your students you should try to encourage them to
25:11
you should try to encourage them to
25:12
you should try to encourage them to build something based on Indian historic
25:15
build something based on Indian historic
25:15
build something based on Indian historic content in India uh and I I was talking
25:18
content in India uh and I I was talking
25:18
content in India uh and I I was talking to my cousin and he wants to build
25:20
to my cousin and he wants to build
25:20
to my cousin and he wants to build something I'm sure a lot of people are
25:22
something I'm sure a lot of people are
25:22
something I'm sure a lot of people are working on it build something around
25:23
working on it build something around
25:23
working on it build something around Vedas remodel just focus on Vedas right
25:26
Vedas remodel just focus on Vedas right
25:26
Vedas remodel just focus on Vedas right how and this could be a big help now
25:28
how and this could be a big help now
25:28
how and this could be a big help now because problem with our education Vedas
25:31
because problem with our education Vedas
25:31
because problem with our education Vedas is that or Vedas purans in Indian all
25:33
is that or Vedas purans in Indian all
25:33
is that or Vedas purans in Indian all our culture was the content wasn't
25:37
our culture was the content wasn't
25:37
our culture was the content wasn't available as easy as other content is
25:41
available as easy as other content is
25:41
available as easy as other content is it's really hard it's in Sanskrit lot of
25:43
it's really hard it's in Sanskrit lot of
25:44
it's really hard it's in Sanskrit lot of it it's hard to understand so we
25:46
it it's hard to understand so we
25:46
it it's hard to understand so we literally Somebody could be building
25:47
literally Somebody could be building
25:47
literally Somebody could be building this model where I can have that access
25:50
this model where I can have that access
25:50
this model where I can have that access easily and understandable that is one
25:52
easily and understandable that is one
25:52
easily and understandable that is one way good use of AI.
25:55
way good use of AI.
25:55
way good use of AI. So
25:57
So
25:57
So other besides these language models
26:00
other besides these language models
26:00
other besides these language models prompting is another skill that is going
26:03
prompting is another skill that is going
26:03
prompting is another skill that is going to be big deal in coming time and I'm
26:05
to be big deal in coming time and I'm
26:05
to be big deal in coming time and I'm sure you already know that you already
26:07
sure you already know that you already
26:07
sure you already know that you already heard of that but the prompt engineering
26:09
heard of that but the prompt engineering
26:09
heard of that but the prompt engineering so there's two part of it one's called
26:11
so there's two part of it one's called
26:11
so there's two part of it one's called prompt designer other one is prompt
26:14
prompt designer other one is prompt
26:14
prompt designer other one is prompt engineer prompt designer is the person
26:16
engineer prompt designer is the person
26:16
engineer prompt designer is the person who designs prompts creates prompts
26:18
who designs prompts creates prompts
26:18
who designs prompts creates prompts creative ideas so the creativity will
26:21
creative ideas so the creativity will
26:21
creative ideas so the creativity will become a big skill in coming I people
26:25
become a big skill in coming I people
26:25
become a big skill in coming I people who can think, they can imagine. So that
26:29
who can think, they can imagine. So that
26:29
who can think, they can imagine. So that is a big skill rather than learning how
26:31
is a big skill rather than learning how
26:31
is a big skill rather than learning how to code because AI can code for you. Now
26:34
to code because AI can code for you. Now
26:34
to code because AI can code for you. Now generative AI can code. If I go to
26:36
generative AI can code. If I go to
26:36
generative AI can code. If I go to generative AI and say build me a website
26:39
generative AI and say build me a website
26:39
generative AI and say build me a website that has a login screen that has a you
26:42
that has a login screen that has a you
26:42
that has a login screen that has a you know dashboard for students to load
26:44
know dashboard for students to load
26:44
know dashboard for students to load their mark sheet that coding can be
26:46
their mark sheet that coding can be
26:46
their mark sheet that coding can be done. Coding has never been smarter. I
26:49
done. Coding has never been smarter. I
26:49
done. Coding has never been smarter. I always said that coding is anybody can
26:52
always said that coding is anybody can
26:52
always said that coding is anybody can code but the solving problem is the part
26:55
code but the solving problem is the part
26:55
code but the solving problem is the part there we need to as been a student need
26:57
there we need to as been a student need
26:57
there we need to as been a student need to more focus on problem solving
27:00
to more focus on problem solving
27:00
to more focus on problem solving creativity. So as a as a educ as as a
27:04
creativity. So as a as a educ as as a
27:04
creativity. So as a as a educ as as a educational institute those are the some
27:06
educational institute those are the some
27:06
educational institute those are the some of the skills I will make fundamentals
27:08
of the skills I will make fundamentals
27:08
of the skills I will make fundamentals in in semester 1 rather than saying
27:13
in in semester 1 rather than saying
27:13
in in semester 1 rather than saying let's learn C++ sure they can learn C++
27:15
let's learn C++ sure they can learn C++
27:15
let's learn C++ sure they can learn C++ 2 that's great but more focus on
27:18
2 that's great but more focus on
27:18
2 that's great but more focus on fundamentals of problem solving and
27:20
fundamentals of problem solving and
27:20
fundamentals of problem solving and creativity those will become they become
27:23
creativity those will become they become
27:23
creativity those will become they become key
27:24
key
27:24
key um
27:26
um
27:26
um other thing is um if you think of about
27:29
other thing is um if you think of about
27:29
other thing is um if you think of about so we got the generative AI I we got the
27:32
so we got the generative AI I we got the
27:32
so we got the generative AI I we got the prompt engineering then W coding is also
27:35
prompt engineering then W coding is also
27:35
prompt engineering then W coding is also becoming a very popular now right vive
27:37
becoming a very popular now right vive
27:37
becoming a very popular now right vive coding are these tools where you can use
27:39
coding are these tools where you can use
27:40
coding are these tools where you can use AI to build your software any kind of
27:42
AI to build your software any kind of
27:42
AI to build your software any kind of software and there are hundreds of w
27:44
software and there are hundreds of w
27:44
software and there are hundreds of w coding tools right now there's copilot
27:48
coding tools right now there's copilot
27:48
coding tools right now there's copilot chat GPT can also write code Germany can
27:50
chat GPT can also write code Germany can
27:50
chat GPT can also write code Germany can write code all the GPTs can also write
27:53
write code all the GPTs can also write
27:53
write code all the GPTs can also write code but then there are code specific
27:56
code but then there are code specific
27:56
code but then there are code specific tools
27:58
tools
27:58
tools and we call them Vive coding tools there
28:00
and we call them Vive coding tools there
28:00
and we call them Vive coding tools there is
28:01
is
28:01
is Copilot is popular, Cursor is popular,
28:03
Copilot is popular, Cursor is popular,
28:03
Copilot is popular, Cursor is popular, Lovable, Gen Coder, there are hundreds
28:06
Lovable, Gen Coder, there are hundreds
28:06
Lovable, Gen Coder, there are hundreds of these companies already launched and
28:08
of these companies already launched and
28:08
of these companies already launched and they're worth billions of dollars
28:09
they're worth billions of dollars
28:09
they're worth billions of dollars already because developers like me and
28:13
already because developers like me and
28:13
already because developers like me and other ones, they're already using them.
28:15
other ones, they're already using them.
28:15
other ones, they're already using them. You pay $20 and back in the day, you
28:18
You pay $20 and back in the day, you
28:18
You pay $20 and back in the day, you will design a website that will take you
28:22
will design a website that will take you
28:22
will design a website that will take you take you like a week. Now you can do in
28:24
take you like a week. Now you can do in
28:24
take you like a week. Now you can do in two minutes, less than two minutes. It's
28:26
two minutes, less than two minutes. It's
28:26
two minutes, less than two minutes. It's creativity. Imagine you can just go to
28:29
creativity. Imagine you can just go to
28:29
creativity. Imagine you can just go to these chat GPT tools, I mean these V
28:31
these chat GPT tools, I mean these V
28:31
these chat GPT tools, I mean these V coding tools and you just talk to them
28:34
coding tools and you just talk to them
28:34
coding tools and you just talk to them in plain English. So the skill of
28:36
in plain English. So the skill of
28:36
in plain English. So the skill of talking to these AI tools
28:39
talking to these AI tools
28:39
talking to these AI tools is called prompt designing.
28:42
is called prompt designing.
28:42
is called prompt designing. So that's the prompt designer. How do
28:44
So that's the prompt designer. How do
28:44
So that's the prompt designer. How do you design? How do you craft that
28:46
you design? How do you craft that
28:46
you design? How do you craft that prompt? And there is specific course for
28:48
prompt? And there is specific course for
28:48
prompt? And there is specific course for that. And I'm not saying it's a college
28:51
that. And I'm not saying it's a college
28:51
that. And I'm not saying it's a college course. There's skill to that. There are
28:52
course. There's skill to that. There are
28:52
course. There's skill to that. There are tricks to that. There are tactics to
28:54
tricks to that. There are tactics to
28:54
tricks to that. There are tactics to that. So that should be the foundation
28:57
that. So that should be the foundation
28:57
that. So that should be the foundation of every every computer science major or
29:00
of every every computer science major or
29:00
of every every computer science major or even any college to be honest. It's not
29:02
even any college to be honest. It's not
29:02
even any college to be honest. It's not even computer science. I can be a
29:04
even computer science. I can be a
29:04
even computer science. I can be a history major. I should still know the
29:07
history major. I should still know the
29:07
history major. I should still know the prompt designing.
29:09
prompt designing.
29:09
prompt designing. So if you have influence
29:11
So if you have influence
29:11
So if you have influence at your institute in your institute to
29:13
at your institute in your institute to
29:14
at your institute in your institute to design curriculum
29:15
design curriculum
29:16
design curriculum the vibe coding prompt engineering
29:19
the vibe coding prompt engineering
29:19
the vibe coding prompt engineering prompt designing these skills should be
29:22
prompt designing these skills should be
29:22
prompt designing these skills should be the part of that for everyone. They
29:24
the part of that for everyone. They
29:24
the part of that for everyone. They should become like a you know English
29:27
should become like a you know English
29:27
should become like a you know English 101 how you you know back in high school
29:29
101 how you you know back in high school
29:29
101 how you you know back in high school I mean if you in in high school we used
29:31
I mean if you in in high school we used
29:31
I mean if you in in high school we used to have English ABCD right in sixth
29:34
to have English ABCD right in sixth
29:34
to have English ABCD right in sixth grade this should become that part. So
29:36
grade this should become that part. So
29:36
grade this should become that part. So that's one thing I would really
29:38
that's one thing I would really
29:38
that's one thing I would really emphasize on this.
29:41
emphasize on this.
29:41
emphasize on this. Um what else in education space? I'll
29:44
Um what else in education space? I'll
29:44
Um what else in education space? I'll take a pause for a second. Anybody
29:46
take a pause for a second. Anybody
29:46
take a pause for a second. Anybody question so far?
29:48
question so far?
29:48
question so far? And how much time we have Rohit? Because
29:51
And how much time we have Rohit? Because
29:51
And how much time we have Rohit? Because I want to cover a few other topics in
29:53
I want to cover a few other topics in
29:53
I want to cover a few other topics in education space.
29:54
education space.
29:54
education space. We have we have 10 10 minutes. We have
29:58
We have we have 10 10 minutes. We have
29:58
We have we have 10 10 minutes. We have 10 minutes.
29:58
10 minutes.
29:58
10 minutes. Okay. So I'll I'll track five more
30:01
Okay. So I'll I'll track five more
30:01
Okay. So I'll I'll track five more minutes and then we'll take questions.
30:04
minutes and then we'll take questions.
30:04
minutes and then we'll take questions. um as in AI in education which I'm
30:07
um as in AI in education which I'm
30:07
um as in AI in education which I'm really talking about generative AI here
30:09
really talking about generative AI here
30:09
really talking about generative AI here because Rohit clearly mentioned that
30:11
because Rohit clearly mentioned that
30:11
because Rohit clearly mentioned that this is everything is all about
30:12
this is everything is all about
30:12
this is everything is all about generative AI right now but there's
30:14
generative AI right now but there's
30:14
generative AI right now but there's something called AGI and there's
30:17
something called AGI and there's
30:17
something called AGI and there's something called ASI
30:19
something called ASI
30:19
something called ASI AGI is artificial general intelligence
30:22
AGI is artificial general intelligence
30:22
AGI is artificial general intelligence artificial general intelligence term
30:24
artificial general intelligence term
30:24
artificial general intelligence term means when AI or these computers or
30:27
means when AI or these computers or
30:28
means when AI or these computers or these systems will be as intelligent as
30:31
these systems will be as intelligent as
30:31
these systems will be as intelligent as human
30:33
human
30:33
human Generative AI is not intelligent at all.
30:35
Generative AI is not intelligent at all.
30:35
Generative AI is not intelligent at all. Right now that's a level zero
30:37
Right now that's a level zero
30:37
Right now that's a level zero intelligence because it's it doesn't do
30:39
intelligence because it's it doesn't do
30:39
intelligence because it's it doesn't do its own. It's just like assistant who
30:41
its own. It's just like assistant who
30:41
its own. It's just like assistant who can do work based on the past research.
30:44
can do work based on the past research.
30:44
can do work based on the past research. Then there's something called AGI and we
30:46
Then there's something called AGI and we
30:46
Then there's something called AGI and we are right now in the era of AGI where
30:49
are right now in the era of AGI where
30:49
are right now in the era of AGI where systems will start becoming as
30:52
systems will start becoming as
30:52
systems will start becoming as intelligent as we are. That means if car
30:55
intelligent as we are. That means if car
30:55
intelligent as we are. That means if car is driving they can react like how a
30:59
is driving they can react like how a
30:59
is driving they can react like how a human would do. And that's a lot of
31:02
human would do. And that's a lot of
31:02
human would do. And that's a lot of these companies are working on AGI and
31:05
these companies are working on AGI and
31:05
these companies are working on AGI and then they're saying that in next five
31:07
then they're saying that in next five
31:07
then they're saying that in next five years we we will have probably ASI we
31:10
years we we will have probably ASI we
31:10
years we we will have probably ASI we don't know how fast we will go ASI's in
31:13
don't know how fast we will go ASI's in
31:13
don't know how fast we will go ASI's in artificial super intelligence that means
31:16
artificial super intelligence that means
31:16
artificial super intelligence that means these AI systems these computers and
31:19
these AI systems these computers and
31:19
these AI systems these computers and when I'm saying computers doesn't really
31:20
when I'm saying computers doesn't really
31:20
when I'm saying computers doesn't really mean the hardware computers it could be
31:23
mean the hardware computers it could be
31:23
mean the hardware computers it could be it's basically these
31:25
it's basically these
31:26
it's basically these software it's like literally software
31:27
software it's like literally software
31:28
software it's like literally software running it can run in a computer it can
31:30
running it can run in a computer it can
31:30
running it can run in a computer it can run in a car. It can run in a in a in a
31:34
run in a car. It can run in a in a in a
31:34
run in a car. It can run in a in a in a house. So, they will become more
31:36
house. So, they will become more
31:36
house. So, they will become more intelligent than us. It could run in a
31:38
intelligent than us. It could run in a
31:38
intelligent than us. It could run in a robot, right? It could run in an AI AI
31:41
robot, right? It could run in an AI AI
31:41
robot, right? It could run in an AI AI robot.
31:43
robot.
31:43
robot. So, they they're saying then it will
31:45
So, they they're saying then it will
31:45
So, they they're saying then it will become more intelligent than us. And
31:47
become more intelligent than us. And
31:47
become more intelligent than us. And that's a big problem for humans. At
31:49
that's a big problem for humans. At
31:49
that's a big problem for humans. At least that's what prediction is.
31:52
least that's what prediction is.
31:52
least that's what prediction is. Um so,
31:54
Um so,
31:54
Um so, get get back to this education. I think
31:57
get get back to this education. I think
31:57
get get back to this education. I think there should be a there should be a
31:59
there should be a there should be a
31:59
there should be a there should be a discussions around
32:01
discussions around
32:01
discussions around a a this generative AI AGI and ASI in
32:05
a a this generative AI AGI and ASI in
32:05
a a this generative AI AGI and ASI in colleges. So students can when they come
32:08
colleges. So students can when they come
32:08
colleges. So students can when they come and join their first year they should
32:11
and join their first year they should
32:11
and join their first year they should start thinking about these basic things
32:12
start thinking about these basic things
32:12
start thinking about these basic things and question themselves and they are the
32:15
and question themselves and they are the
32:15
and question themselves and they are the one who are going to come up with ideas.
32:17
one who are going to come up with ideas.
32:17
one who are going to come up with ideas. They are you look at the other thing I
32:19
They are you look at the other thing I
32:19
They are you look at the other thing I learned in the in the US America what it
32:23
learned in the in the US America what it
32:23
learned in the in the US America what it does good is that they do so much
32:25
does good is that they do so much
32:25
does good is that they do so much research funding in colleges colleges
32:28
research funding in colleges colleges
32:28
research funding in colleges colleges have so much money if you look at
32:30
have so much money if you look at
32:30
have so much money if you look at Harvard they get 300 400 500 million
32:33
Harvard they get 300 400 500 million
32:33
Harvard they get 300 400 500 million dollar they get billions of dollars in
32:35
dollar they get billions of dollars in
32:35
dollar they get billions of dollars in in these funding donations from the
32:38
in these funding donations from the
32:38
in these funding donations from the government from the donors so that's why
32:41
government from the donors so that's why
32:41
government from the donors so that's why they can come up with all these research
32:43
they can come up with all these research
32:43
they can come up with all these research and even look at the companies like
32:45
and even look at the companies like
32:45
and even look at the companies like Facebook and lot of these companies are
32:47
Facebook and lot of these companies are
32:47
Facebook and lot of these companies are generated from colleges
32:49
generated from colleges
32:50
generated from colleges and because these student all they do is
32:52
and because these student all they do is
32:52
and because these student all they do is ideas, creativity, research. They don't
32:55
ideas, creativity, research. They don't
32:55
ideas, creativity, research. They don't look for oh should I learn Python so I
32:59
look for oh should I learn Python so I
32:59
look for oh should I learn Python so I can get a new job. That's not what they
33:01
can get a new job. That's not what they
33:01
can get a new job. That's not what they think from day one.
33:04
think from day one.
33:04
think from day one. That's how India was back in the day.
33:05
That's how India was back in the day.
33:06
That's how India was back in the day. India if you look at the Vic eras they
33:08
India if you look at the Vic eras they
33:08
India if you look at the Vic eras they weren't thinking that let's learn how to
33:10
weren't thinking that let's learn how to
33:10
weren't thinking that let's learn how to get a job. They were thinking let's
33:13
get a job. They were thinking let's
33:13
get a job. They were thinking let's learn how to change the world. And
33:15
learn how to change the world. And
33:15
learn how to change the world. And that's what teachers and our gurus were
33:17
that's what teachers and our gurus were
33:17
that's what teachers and our gurus were doing. Because once you start with that
33:19
doing. Because once you start with that
33:19
doing. Because once you start with that mindset then you are gen you are
33:22
mindset then you are gen you are
33:22
mindset then you are gen you are creating generational leaders. You are
33:24
creating generational leaders. You are
33:24
creating generational leaders. You are creating generational entrepreneurs. You
33:26
creating generational entrepreneurs. You
33:26
creating generational entrepreneurs. You are creating generation generational
33:29
are creating generation generational
33:29
are creating generation generational thought leaders and game changers.
33:31
thought leaders and game changers.
33:31
thought leaders and game changers. You're not creating workers. Right now
33:34
You're not creating workers. Right now
33:34
You're not creating workers. Right now what we see a lot is that we are
33:35
what we see a lot is that we are
33:36
what we see a lot is that we are creating these factories. Colleges have
33:38
creating these factories. Colleges have
33:38
creating these factories. Colleges have become these factories. We are creating
33:40
become these factories. We are creating
33:40
become these factories. We are creating a a these workers like oh let's learn
33:43
a a these workers like oh let's learn
33:43
a a these workers like oh let's learn this. Why? so you can get a job. That is
33:46
this. Why? so you can get a job. That is
33:46
this. Why? so you can get a job. That is a wrong mindset if you ask me that. That
33:49
a wrong mindset if you ask me that. That
33:50
a wrong mindset if you ask me that. That has always been a philosophy of mine and
33:52
has always been a philosophy of mine and
33:52
has always been a philosophy of mine and even C# corner is that we educate people
33:56
even C# corner is that we educate people
33:56
even C# corner is that we educate people to start thinking rather than just focus
33:59
to start thinking rather than just focus
33:59
to start thinking rather than just focus on a oh how do I what how do I get you
34:01
on a oh how do I what how do I get you
34:01
on a oh how do I what how do I get you can always get a job if you are a hard
34:03
can always get a job if you are a hard
34:03
can always get a job if you are a hard worker you can always get a job. Um
34:08
worker you can always get a job. Um
34:08
worker you can always get a job. Um so quickly in few minutes I'll finish
34:11
so quickly in few minutes I'll finish
34:11
so quickly in few minutes I'll finish the what this a generative AI how can
34:14
the what this a generative AI how can
34:14
the what this a generative AI how can you means college institute and teachers
34:18
you means college institute and teachers
34:18
you means college institute and teachers can benefit from that is obviously you
34:21
can benefit from that is obviously you
34:21
can benefit from that is obviously you can create all kind of content you have
34:23
can create all kind of content you have
34:23
can create all kind of content you have to be just creative so you don't have to
34:25
to be just creative so you don't have to
34:25
to be just creative so you don't have to write your own book you can college can
34:28
write your own book you can college can
34:28
write your own book you can college can come up with their own own curriculum
34:30
come up with their own own curriculum
34:30
come up with their own own curriculum and their own books rather than teaching
34:32
and their own books rather than teaching
34:32
and their own books rather than teaching somebody else's book who that is 6
34:34
somebody else's book who that is 6
34:34
somebody else's book who that is 6 months old or 6 years
34:37
months old or 6 years
34:37
months old or 6 years You can be more creative with that. You
34:39
You can be more creative with that. You
34:39
You can be more creative with that. You can say take this c this book. Let's say
34:41
can say take this c this book. Let's say
34:42
can say take this c this book. Let's say you want to write I don't know Python
34:44
you want to write I don't know Python
34:44
you want to write I don't know Python course you can create using AGI your own
34:48
course you can create using AGI your own
34:48
course you can create using AGI your own personalized course which you think
34:50
personalized course which you think
34:50
personalized course which you think makes sense for you and your student
34:52
makes sense for you and your student
34:52
makes sense for you and your student rather than taking a book that was
34:54
rather than taking a book that was
34:54
rather than taking a book that was written three years ago. You can dump
34:56
written three years ago. You can dump
34:56
written three years ago. You can dump that book say use this book learn from
34:59
that book say use this book learn from
34:59
that book say use this book learn from this book get other books and add my
35:01
this book get other books and add my
35:01
this book get other books and add my ideas add more these practicals add more
35:05
ideas add more these practicals add more
35:05
ideas add more these practicals add more these projects now you can create your
35:08
these projects now you can create your
35:08
these projects now you can create your own course like within you know minutes
35:11
own course like within you know minutes
35:11
own course like within you know minutes and that is one something you can teach
35:13
and that is one something you can teach
35:13
and that is one something you can teach your student that's one thing they can
35:15
your student that's one thing they can
35:15
your student that's one thing they can do they can also use AI big time on
35:17
do they can also use AI big time on
35:18
do they can also use AI big time on research which I'm sure most of you are
35:19
research which I'm sure most of you are
35:19
research which I'm sure most of you are already using it um you can also
35:23
already using it um you can also
35:23
already using it um you can also obviously one cool thought I thought is
35:26
obviously one cool thought I thought is
35:26
obviously one cool thought I thought is as in as a as a this could be
35:27
as in as a as a this could be
35:27
as in as a as a this could be interesting. I you know in colleges I
35:30
interesting. I you know in colleges I
35:30
interesting. I you know in colleges I always said that teachers are always
35:33
always said that teachers are always
35:33
always said that teachers are always stressed out about when they are
35:36
stressed out about when they are
35:36
stressed out about when they are reviewing the papers giving the marks
35:38
reviewing the papers giving the marks
35:38
reviewing the papers giving the marks because you have to read all the answers
35:41
because you have to read all the answers
35:41
because you have to read all the answers right sometimes if you get somebody like
35:43
right sometimes if you get somebody like
35:43
right sometimes if you get somebody like me who always I always finish like three
35:47
me who always I always finish like three
35:47
me who always I always finish like three extra copies extra copies right so I'm
35:49
extra copies extra copies right so I'm
35:50
extra copies extra copies right so I'm writing this much text making the story
35:52
writing this much text making the story
35:52
writing this much text making the story teacher has to read all that thing now
35:54
teacher has to read all that thing now
35:54
teacher has to read all that thing now so we could literally build an AI
35:56
so we could literally build an AI
35:56
so we could literally build an AI assistant and Rohit can build it in like
35:58
assistant and Rohit can build it in like
35:58
assistant and Rohit can build it in like you know
35:59
you know
35:59
you know where you just you know take they take
36:01
where you just you know take they take
36:01
where you just you know take they take take the test which is online they can
36:03
take the test which is online they can
36:03
take the test which is online they can write the book somehow you take the book
36:05
write the book somehow you take the book
36:05
write the book somehow you take the book put in a PDF and out of sudden you have
36:08
put in a PDF and out of sudden you have
36:08
put in a PDF and out of sudden you have this AI grade teacher who will just
36:10
this AI grade teacher who will just
36:10
this AI grade teacher who will just grade all the papers and by the way
36:13
grade all the papers and by the way
36:13
grade all the papers and by the way there AI won't do favor right and
36:15
there AI won't do favor right and
36:15
there AI won't do favor right and teachers can do favors right oh I like
36:17
teachers can do favors right oh I like
36:17
teachers can do favors right oh I like rohit oh rohit is always helping me he's
36:20
rohit oh rohit is always helping me he's
36:20
rohit oh rohit is always helping me he's always cleaning my car he's coming to my
36:22
always cleaning my car he's coming to my
36:22
always cleaning my car he's coming to my home I'll give him extra marks but AI
36:24
home I'll give him extra marks but AI
36:24
home I'll give him extra marks but AI cannot do that AI uses make it unbiased
36:27
cannot do that AI uses make it unbiased
36:28
cannot do that AI uses make it unbiased so That could be one application.
36:30
so That could be one application.
36:30
so That could be one application. Um, you can also have these personalized
36:34
Um, you can also have these personalized
36:34
Um, you can also have these personalized learning. Personalized learning is very
36:36
learning. Personalized learning is very
36:36
learning. Personalized learning is very important because not all students fit
36:40
important because not all students fit
36:40
important because not all students fit in the same mindset. Their learning
36:42
in the same mindset. Their learning
36:42
in the same mindset. Their learning capabilities are different. Somebody
36:44
capabilities are different. Somebody
36:44
capabilities are different. Somebody likes slow learning, somebody like fast,
36:46
likes slow learning, somebody like fast,
36:46
likes slow learning, somebody like fast, somebody's good in English, somebody's
36:48
somebody's good in English, somebody's
36:48
somebody's good in English, somebody's bad in English. I remember I had a
36:50
bad in English. I remember I had a
36:50
bad in English. I remember I had a teacher uh he will come in and and he'll
36:53
teacher uh he will come in and and he'll
36:53
teacher uh he will come in and and he'll talk all these big words in English and
36:55
talk all these big words in English and
36:55
talk all these big words in English and I I'm from village there and I like who
36:58
I I'm from village there and I like who
36:58
I I'm from village there and I like who right so AI can help create these
37:03
right so AI can help create these
37:03
right so AI can help create these personalized teachers where students can
37:05
personalized teachers where students can
37:05
personalized teachers where students can set their tone their learning behavior
37:08
set their tone their learning behavior
37:08
set their tone their learning behavior their skill set their English they can
37:10
their skill set their English they can
37:10
their skill set their English they can say can you mix half in English they can
37:13
say can you mix half in English they can
37:13
say can you mix half in English they can go back and say oh I didn't understand
37:15
go back and say oh I didn't understand
37:15
go back and say oh I didn't understand this can you explain in Hindi it could
37:17
this can you explain in Hindi it could
37:17
this can you explain in Hindi it could actually teach even language is side by
37:19
actually teach even language is side by
37:19
actually teach even language is side by side because back in the day I remember
37:23
side because back in the day I remember
37:23
side because back in the day I remember you know when first time I started BSE
37:25
you know when first time I started BSE
37:25
you know when first time I started BSE books were in all English and I didn't
37:27
books were in all English and I didn't
37:27
books were in all English and I didn't know English so I had to look at the
37:29
know English so I had to look at the
37:29
know English so I had to look at the dictionary for the word now AI can do
37:32
dictionary for the word now AI can do
37:32
dictionary for the word now AI can do that it can save a lot of time
37:35
that it can save a lot of time
37:35
that it can save a lot of time um it can also train the trainers right
37:37
um it can also train the trainers right
37:37
um it can also train the trainers right it can always train the train one thing
37:39
it can always train the train one thing
37:39
it can always train the train one thing I would highly recommend is all of us if
37:41
I would highly recommend is all of us if
37:41
I would highly recommend is all of us if you're already doing it here but every
37:43
you're already doing it here but every
37:43
you're already doing it here but every day in today's world put aside and it
37:46
day in today's world put aside and it
37:46
day in today's world put aside and it has to be almost like every day if you
37:48
has to be almost like every day if you
37:48
has to be almost like every day if you cannot do it maybe do every two three
37:50
cannot do it maybe do every two three
37:50
cannot do it maybe do every two three days or maybe just two hours on the
37:52
days or maybe just two hours on the
37:52
days or maybe just two hours on the weekend. you have to learn something new
37:56
weekend. you have to learn something new
37:56
weekend. you have to learn something new and best part is just go to chad GP or
37:58
and best part is just go to chad GP or
37:58
and best part is just go to chad GP or any of these and say um we are starting
38:01
any of these and say um we are starting
38:01
any of these and say um we are starting this new a generative AI course or
38:04
this new a generative AI course or
38:04
this new a generative AI course or prompt engineering course so you can
38:06
prompt engineering course so you can
38:06
prompt engineering course so you can start learning before that and it has to
38:09
start learning before that and it has to
38:09
start learning before that and it has to be continuous learning has to be a part
38:12
be continuous learning has to be a part
38:12
be continuous learning has to be a part of everybody in this AI era that is the
38:15
of everybody in this AI era that is the
38:15
of everybody in this AI era that is the only way we can keep up with this this
38:18
only way we can keep up with this this
38:18
only way we can keep up with this this whole world otherwise moving too fast
38:21
whole world otherwise moving too fast
38:21
whole world otherwise moving too fast Um
38:23
Um
38:23
Um so with that said last thing I will say
38:25
so with that said last thing I will say
38:25
so with that said last thing I will say there is few skills if you are talking
38:28
there is few skills if you are talking
38:28
there is few skills if you are talking to your students and they say what are
38:30
to your students and they say what are
38:30
to your students and they say what are the skills you should be learning. As I
38:31
the skills you should be learning. As I
38:32
the skills you should be learning. As I mentioned
38:33
mentioned
38:33
mentioned system design is great. The system
38:35
system design is great. The system
38:35
system design is great. The system design is always going to be in demand
38:37
design is always going to be in demand
38:37
design is always going to be in demand because somebody has to still think of
38:39
because somebody has to still think of
38:39
because somebody has to still think of what kind of system they want to design.
38:41
what kind of system they want to design.
38:41
what kind of system they want to design. Domain knowledge is really important.
38:43
Domain knowledge is really important.
38:43
Domain knowledge is really important. Domain knowledge will decide if you get
38:46
Domain knowledge will decide if you get
38:46
Domain knowledge will decide if you get a job or not. It's not the coding
38:48
a job or not. It's not the coding
38:48
a job or not. It's not the coding skills. For example, if banking
38:50
skills. For example, if banking
38:50
skills. For example, if banking company's hiring, if bank is hiring,
38:53
company's hiring, if bank is hiring,
38:53
company's hiring, if bank is hiring, they want to know how good you are in
38:54
they want to know how good you are in
38:54
they want to know how good you are in this domain knowledge. So when now if
38:56
this domain knowledge. So when now if
38:56
this domain knowledge. So when now if you're designing your curriculum for
38:58
you're designing your curriculum for
38:58
you're designing your curriculum for next sim next class, you want to put the
39:01
next sim next class, you want to put the
39:01
next sim next class, you want to put the domain knowledge more in that. Um also
39:05
domain knowledge more in that. Um also
39:05
domain knowledge more in that. Um also human AI collaboration is going to be
39:07
human AI collaboration is going to be
39:07
human AI collaboration is going to be big topic. So these are some of the
39:08
big topic. So these are some of the
39:08
big topic. So these are some of the three four five skills I would focus a
39:11
three four five skills I would focus a
39:11
three four five skills I would focus a lot beside the vibe coding prompt
39:13
lot beside the vibe coding prompt
39:14
lot beside the vibe coding prompt engineering prompt designing
39:16
engineering prompt designing
39:16
engineering prompt designing and then what are the jobs I see next
39:19
and then what are the jobs I see next
39:19
and then what are the jobs I see next five years you know are going to be big
39:22
five years you know are going to be big
39:22
five years you know are going to be big time obviously AI ML engineers is in big
39:24
time obviously AI ML engineers is in big
39:24
time obviously AI ML engineers is in big demand data scientist data is the
39:27
demand data scientist data is the
39:27
demand data scientist data is the foundation of this whole AI as I
39:29
foundation of this whole AI as I
39:29
foundation of this whole AI as I mentioned AI is as good as your model is
39:32
mentioned AI is as good as your model is
39:32
mentioned AI is as good as your model is as good as the data you feed in and the
39:35
as good as the data you feed in and the
39:35
as good as the data you feed in and the data you train in. If you train the
39:37
data you train in. If you train the
39:37
data you train in. If you train the garbage data, your AI is garbage. And
39:40
garbage data, your AI is garbage. And
39:40
garbage data, your AI is garbage. And that's what I meant by that this AI is
39:42
that's what I meant by that this AI is
39:42
that's what I meant by that this AI is not smart. This generative AI, if
39:45
not smart. This generative AI, if
39:45
not smart. This generative AI, if tomorrow I can go and chat GPT and start
39:49
tomorrow I can go and chat GPT and start
39:49
tomorrow I can go and chat GPT and start feeding wrong things about me and
39:52
feeding wrong things about me and
39:52
feeding wrong things about me and somebody asked 3 days later, it's going
39:53
somebody asked 3 days later, it's going
39:54
somebody asked 3 days later, it's going to tell all wrong things about me. So
39:56
to tell all wrong things about me. So
39:56
to tell all wrong things about me. So AI, this AI could easily be manipulated.
39:59
AI, this AI could easily be manipulated.
39:59
AI, this AI could easily be manipulated. It also hallucinates. Means if it
40:02
It also hallucinates. Means if it
40:02
It also hallucinates. Means if it doesn't know answer, it thinks it's
40:04
doesn't know answer, it thinks it's
40:04
doesn't know answer, it thinks it's really smart, but it's not. If it
40:06
really smart, but it's not. If it
40:06
really smart, but it's not. If it doesn't know anything, it will try to
40:08
doesn't know anything, it will try to
40:08
doesn't know anything, it will try to answer it anyway. So you have to be
40:11
answer it anyway. So you have to be
40:11
answer it anyway. So you have to be careful when you are putting something
40:13
careful when you are putting something
40:13
careful when you are putting something even you are asking something hey can
40:15
even you are asking something hey can
40:15
even you are asking something hey can you review this solve problem it will
40:18
you review this solve problem it will
40:18
you review this solve problem it will just try to find what is the best
40:19
just try to find what is the best
40:19
just try to find what is the best matching solution is there and that's
40:21
matching solution is there and that's
40:21
matching solution is there and that's what it'll tell you that's all it knows
40:23
what it'll tell you that's all it knows
40:23
what it'll tell you that's all it knows it doesn't mean it's always right so
40:25
it doesn't mean it's always right so
40:25
it doesn't mean it's always right so sometimes if you're using you have to
40:28
sometimes if you're using you have to
40:28
sometimes if you're using you have to make sure you always use your judgment
40:30
make sure you always use your judgment
40:30
make sure you always use your judgment this generative AI is not always right
40:33
this generative AI is not always right
40:33
this generative AI is not always right it's always it will be right if it has
40:35
it's always it will be right if it has
40:35
it's always it will be right if it has lot of content around that topic but if
40:39
lot of content around that topic but if
40:39
lot of content around that topic but if it only has one or two sources about one
40:42
it only has one or two sources about one
40:42
it only has one or two sources about one topic, it's just going to tell you
40:43
topic, it's just going to tell you
40:43
topic, it's just going to tell you exactly what it read from there. That is
40:45
exactly what it read from there. That is
40:45
exactly what it read from there. That is it. So don't assume that the answer you
40:48
it. So don't assume that the answer you
40:48
it. So don't assume that the answer you got from Chad GP is always right. So
40:51
got from Chad GP is always right. So
40:51
got from Chad GP is always right. So that's we have to keep that in mind. Uh
40:54
that's we have to keep that in mind. Uh
40:54
that's we have to keep that in mind. Uh with that said, I think everybody thank
40:57
with that said, I think everybody thank
40:57
with that said, I think everybody thank you so much. I'm here for more
40:58
you so much. I'm here for more
40:58
you so much. I'm here for more questions. But this is amazing and the
41:01
questions. But this is amazing and the
41:01
questions. But this is amazing and the team all three four guys you've done
41:03
team all three four guys you've done
41:03
team all three four guys you've done amazing job. Uh Atul again thank you for
41:06
amazing job. Uh Atul again thank you for
41:06
amazing job. Uh Atul again thank you for putting this all together. It was quick
41:09
putting this all together. It was quick
41:09
putting this all together. It was quick and Rohit and Simon great job for
41:12
and Rohit and Simon great job for
41:12
and Rohit and Simon great job for supporting it. So let's see let's open
41:14
supporting it. So let's see let's open
41:14
supporting it. So let's see let's open for few question answers.
41:18
Uh if you allow me I would ask a
41:21
Uh if you allow me I would ask a
41:21
Uh if you allow me I would ask a question to you. You have traveled the
41:24
question to you. You have traveled the
41:24
question to you. You have traveled the journey so far in United States of
41:26
journey so far in United States of
41:26
journey so far in United States of America over span of last more than two
41:28
America over span of last more than two
41:28
America over span of last more than two decades right? You are connected to the
41:30
decades right? You are connected to the
41:30
decades right? You are connected to the roots of India as well. Now you better
41:33
roots of India as well. Now you better
41:33
roots of India as well. Now you better understand the gaps which are there in
41:35
understand the gaps which are there in
41:35
understand the gaps which are there in Indian academy or corporate world. What
41:38
Indian academy or corporate world. What
41:38
Indian academy or corporate world. What are those gaps which we need to work
41:40
are those gaps which we need to work
41:40
are those gaps which we need to work upon to get it filled so that India
41:43
upon to get it filled so that India
41:43
upon to get it filled so that India again you know gets into a high and onto
41:46
again you know gets into a high and onto
41:46
again you know gets into a high and onto it now and perform better. So what are
41:48
it now and perform better. So what are
41:48
it now and perform better. So what are those gaps which you find in comparison
41:50
those gaps which you find in comparison
41:50
those gaps which you find in comparison to the American fertility?
41:53
to the American fertility?
41:53
to the American fertility? That's that's a great that's a great
41:56
That's that's a great that's a great
41:56
That's that's a great that's a great question. Amazing question. Um so that's
41:59
question. Amazing question. Um so that's
41:59
question. Amazing question. Um so that's where I sometimes feel like I'm very
42:01
where I sometimes feel like I'm very
42:01
where I sometimes feel like I'm very lucky because I came from a village and
42:04
lucky because I came from a village and
42:04
lucky because I came from a village and I went to New York. New York is the top
42:06
I went to New York. New York is the top
42:06
I went to New York. New York is the top of the top place when it comes to
42:08
of the top place when it comes to
42:08
of the top place when it comes to business finance. You go there your
42:10
business finance. You go there your
42:10
business finance. You go there your every minute counts. So I see people who
42:13
every minute counts. So I see people who
42:13
every minute counts. So I see people who are fast. I see people billionaires. I
42:15
are fast. I see people billionaires. I
42:15
are fast. I see people billionaires. I also go to villages. So where life is
42:17
also go to villages. So where life is
42:17
also go to villages. So where life is very slow means people are sitting all
42:19
very slow means people are sitting all
42:19
very slow means people are sitting all day and playing cards. New York every
42:22
day and playing cards. New York every
42:22
day and playing cards. New York every minute counts. So that's what I have
42:25
minute counts. So that's what I have
42:25
minute counts. So that's what I have this experience of and I can look at all
42:28
this experience of and I can look at all
42:28
this experience of and I can look at all the things and I like wow look at this
42:31
the things and I like wow look at this
42:31
the things and I like wow look at this guy in village spending all day sitting
42:33
guy in village spending all day sitting
42:33
guy in village spending all day sitting around he could be doing these 10 things
42:35
around he could be doing these 10 things
42:35
around he could be doing these 10 things and he'll be rich. Um one thing I see is
42:39
and he'll be rich. Um one thing I see is
42:39
and he'll be rich. Um one thing I see is the biggest problem with India is the
42:41
the biggest problem with India is the
42:41
the biggest problem with India is the culture
42:43
culture
42:43
culture and the cultural mindset is very
42:46
and the cultural mindset is very
42:46
and the cultural mindset is very important. You have to think the how
42:49
important. You have to think the how
42:49
important. You have to think the how America was founded. The foundation of
42:52
America was founded. The foundation of
42:52
America was founded. The foundation of America is people came to America with a
42:56
America is people came to America with a
42:56
America is people came to America with a mindset only business. They didn't leave
42:58
mindset only business. They didn't leave
42:58
mindset only business. They didn't leave their country. Nobody leaves their
43:00
their country. Nobody leaves their
43:00
their country. Nobody leaves their country. Nobody leaves their home saying
43:03
country. Nobody leaves their home saying
43:03
country. Nobody leaves their home saying oh I'm going to go America to have fun.
43:07
oh I'm going to go America to have fun.
43:07
oh I'm going to go America to have fun. They come everybody came from people
43:09
They come everybody came from people
43:09
They come everybody came from people came from England from Europe. All they
43:12
came from England from Europe. All they
43:12
came from England from Europe. All they came with one mindset. They're going to
43:14
came with one mindset. They're going to
43:14
came with one mindset. They're going to have a one life better life. They're
43:17
have a one life better life. They're
43:17
have a one life better life. They're going to have a business mindset. So
43:18
going to have a business mindset. So
43:18
going to have a business mindset. So anybody comes here in this country since
43:21
anybody comes here in this country since
43:21
anybody comes here in this country since they came back in the day, I'm not
43:22
they came back in the day, I'm not
43:22
they came back in the day, I'm not talking today, they came with this
43:24
talking today, they came with this
43:24
talking today, they came with this mindset. That means there are more
43:27
mindset. That means there are more
43:27
mindset. That means there are more people here who have business mindset.
43:30
people here who have business mindset.
43:30
people here who have business mindset. That means their children have mind
43:32
That means their children have mind
43:32
That means their children have mind business mindset. That means their
43:34
business mindset. That means their
43:34
business mindset. That means their generations have this mindset which is
43:37
generations have this mindset which is
43:37
generations have this mindset which is good and bad. It's bad in the sense that
43:39
good and bad. It's bad in the sense that
43:39
good and bad. It's bad in the sense that you know we have a different life. We
43:41
you know we have a different life. We
43:41
you know we have a different life. We have better think of that as we have
43:44
have better think of that as we have
43:44
have better think of that as we have better culture life. We have family
43:46
better culture life. We have family
43:46
better culture life. We have family life. We have you know if you look at
43:49
life. We have you know if you look at
43:49
life. We have you know if you look at our lives it's more um think about like
43:52
our lives it's more um think about like
43:52
our lives it's more um think about like a more
43:54
a more
43:54
a more fulfilling
43:56
fulfilling
43:56
fulfilling we get friends and now we just doing
43:58
we get friends and now we just doing
43:58
we get friends and now we just doing that here it's very life is very machine
44:01
that here it's very life is very machine
44:01
that here it's very life is very machine here in US uh maybe majority you can be
44:05
here in US uh maybe majority you can be
44:05
here in US uh maybe majority you can be the richest person you're still busy
44:07
the richest person you're still busy
44:07
the richest person you're still busy everybody's busy here everybody works
44:09
everybody's busy here everybody works
44:09
everybody's busy here everybody works here there's no concept of that oh you
44:13
here there's no concept of that oh you
44:13
here there's no concept of that oh you come home and there is somebody's going
44:14
come home and there is somebody's going
44:14
come home and there is somebody's going to make you food and tea
44:16
to make you food and tea
44:16
to make you food and tea There's no concept there. Everybody does
44:18
There's no concept there. Everybody does
44:18
There's no concept there. Everybody does their own work. You could be a Bill
44:21
their own work. You could be a Bill
44:21
their own work. You could be a Bill Gates. You most of time you're doing
44:22
Gates. You most of time you're doing
44:22
Gates. You most of time you're doing your own work. You there's no like I go
44:25
your own work. You there's no like I go
44:25
your own work. You there's no like I go to India and I have so much time because
44:27
to India and I have so much time because
44:27
to India and I have so much time because somebody's making my tea all the time.
44:30
somebody's making my tea all the time.
44:30
somebody's making my tea all the time. Here I spend 3 hours a day making tea.
44:33
Here I spend 3 hours a day making tea.
44:33
Here I spend 3 hours a day making tea. uh so the what difference I see big time
44:37
uh so the what difference I see big time
44:37
uh so the what difference I see big time is that we
44:41
is that we
44:41
is that we because of our culture we don't focus on
44:44
because of our culture we don't focus on
44:44
because of our culture we don't focus on just one thing we are focusing on lot of
44:47
just one thing we are focusing on lot of
44:47
just one thing we are focusing on lot of things like if I'm at home and studying
44:50
things like if I'm at home and studying
44:50
things like if I'm at home and studying and doing some work in my room friend
44:53
and doing some work in my room friend
44:53
and doing some work in my room friend may come and I have to go and say and
44:55
may come and I have to go and say and
44:55
may come and I have to go and say and entertain them in the US they'll say hey
44:58
entertain them in the US they'll say hey
44:58
entertain them in the US they'll say hey are you free can I come they have this
45:01
are you free can I come they have this
45:01
are you free can I come they have this cultural sense they have this and this
45:03
cultural sense they have this and this
45:03
cultural sense they have this and this been for long forever.
45:05
been for long forever.
45:05
been for long forever. So
45:07
So
45:07
So um even you go to your parents' home,
45:09
um even you go to your parents' home,
45:10
um even you go to your parents' home, you have to call them, make sure they're
45:11
you have to call them, make sure they're
45:11
you have to call them, make sure they're home. It's not just okay, let's go, I'll
45:13
home. It's not just okay, let's go, I'll
45:13
home. It's not just okay, let's go, I'll just go. That's what So that means these
45:15
just go. That's what So that means these
45:15
just go. That's what So that means these people spend more time focusing on
45:20
people spend more time focusing on
45:20
people spend more time focusing on either education or business. Um that is
45:24
either education or business. Um that is
45:24
either education or business. Um that is one big thing and it's just cultural
45:25
one big thing and it's just cultural
45:26
one big thing and it's just cultural thing and I it's not as easy to solve.
45:28
thing and I it's not as easy to solve.
45:28
thing and I it's not as easy to solve. Other thing is resources. There people
45:31
Other thing is resources. There people
45:31
Other thing is resources. There people have so much resources. So that means
45:34
have so much resources. So that means
45:34
have so much resources. So that means you can do anything you want. You can
45:35
you can do anything you want. You can
45:35
you can do anything you want. You can have this big house in that house. I
45:38
have this big house in that house. I
45:38
have this big house in that house. I have two offices. So I can literally be
45:40
have two offices. So I can literally be
45:40
have two offices. So I can literally be in my room and nobody will bother me. So
45:44
in my room and nobody will bother me. So
45:44
in my room and nobody will bother me. So that is a big advantage here, right? And
45:46
that is a big advantage here, right? And
45:46
that is a big advantage here, right? And it's hard to really India. You live in
45:48
it's hard to really India. You live in
45:48
it's hard to really India. You live in India, everybody can't have these five
45:51
India, everybody can't have these five
45:51
India, everybody can't have these five bedroomedroom homes. You have a
45:53
bedroomedroom homes. You have a
45:53
bedroomedroom homes. You have a challenge. If for example Rohit wants to
45:55
challenge. If for example Rohit wants to
45:55
challenge. If for example Rohit wants to work from home and focus, somebody's
45:57
work from home and focus, somebody's
45:57
work from home and focus, somebody's going to come bother him all the time.
45:59
going to come bother him all the time.
45:59
going to come bother him all the time. And how do you overcome that? It's
46:01
And how do you overcome that? It's
46:01
And how do you overcome that? It's really hard to answer that question
46:03
really hard to answer that question
46:04
really hard to answer that question because I don't think you can overcome
46:05
because I don't think you can overcome
46:05
because I don't think you can overcome with that.
46:07
with that.
46:07
with that. So it's just that country has more
46:10
So it's just that country has more
46:10
So it's just that country has more resources. Country has everything
46:12
resources. Country has everything
46:12
resources. Country has everything available to you when you have
46:14
available to you when you have
46:14
available to you when you have resources. Why do we produce more
46:16
resources. Why do we produce more
46:16
resources. Why do we produce more athletes from America than India? It's
46:18
athletes from America than India? It's
46:18
athletes from America than India? It's just resources, right? It doesn't mean
46:20
just resources, right? It doesn't mean
46:20
just resources, right? It doesn't mean that India India has more hardworking
46:22
that India India has more hardworking
46:22
that India India has more hardworking people than ever. Their athletes are
46:24
people than ever. Their athletes are
46:24
people than ever. Their athletes are hardworking than us probably, you know?
46:27
hardworking than us probably, you know?
46:27
hardworking than us probably, you know? And I've seen that if you see some
46:28
And I've seen that if you see some
46:28
And I've seen that if you see some people from India they get out they get
46:32
people from India they get out they get
46:32
people from India they get out they get the resources they become very
46:33
the resources they become very
46:33
the resources they become very successful like CEO of Microsoft CEO of
46:37
successful like CEO of Microsoft CEO of
46:37
successful like CEO of Microsoft CEO of Google and all these if they were living
46:39
Google and all these if they were living
46:39
Google and all these if they were living in India they would never become that.
46:42
in India they would never become that.
46:42
in India they would never become that. So
46:44
So
46:44
So it's really hard to compete with because
46:47
it's really hard to compete with because
46:47
it's really hard to compete with because this is how it is. It's like we just way
46:49
this is how it is. It's like we just way
46:49
this is how it is. It's like we just way ahead. America is way ahead. They have
46:51
ahead. America is way ahead. They have
46:51
ahead. America is way ahead. They have more money. They have more resources and
46:53
more money. They have more resources and
46:53
more money. They have more resources and they have more talent now.
46:56
they have more talent now.
46:56
they have more talent now. Um
46:58
Um
46:58
Um so that hopefully that answers your
47:00
so that hopefully that answers your
47:00
so that hopefully that answers your question. It's very complicated question
47:02
question. It's very complicated question
47:02
question. It's very complicated question and very complicated answer.
47:04
and very complicated answer.
47:04
and very complicated answer. Got it. Got it. Probably we should
47:06
Got it. Got it. Probably we should
47:06
Got it. Got it. Probably we should proceed further for fellowation ceremony
47:09
proceed further for fellowation ceremony
47:09
proceed further for fellowation ceremony as well. I told you it's getting late
47:10
as well. I told you it's getting late
47:10
as well. I told you it's getting late right or if Mah wants some more
47:13
right or if Mah wants some more
47:14
right or if Mah wants some more questions. I think few people may want
47:15
questions. I think few people may want
47:15
questions. I think few people may want to ask we'll get more questions and then
47:17
to ask we'll get more questions and then
47:17
to ask we'll get more questions and then we can Yeah.
47:21
My question is uh first of all good
47:23
My question is uh first of all good
47:23
My question is uh first of all good evening everyone. Uh good evening my
47:25
evening everyone. Uh good evening my
47:25
evening everyone. Uh good evening my sir. Uh so my question is what skills
47:27
sir. Uh so my question is what skills
47:28
sir. Uh so my question is what skills should student and professionals focus
47:30
should student and professionals focus
47:30
should student and professionals focus on today to stay relevant in the area of
47:33
on today to stay relevant in the area of
47:33
on today to stay relevant in the area of generative AI?
47:35
generative AI?
47:35
generative AI? Yeah. Or how do you see uh generative AI
47:39
Yeah. Or how do you see uh generative AI
47:39
Yeah. Or how do you see uh generative AI impacting opensource contribution and
47:42
impacting opensource contribution and
47:42
impacting opensource contribution and developer communities globally?
47:45
developer communities globally?
47:45
developer communities globally? Yeah, that's a great question and I
47:47
Yeah, that's a great question and I
47:47
Yeah, that's a great question and I think the opensource and developer
47:49
think the opensource and developer
47:49
think the opensource and developer community is like almost like going to
47:51
community is like almost like going to
47:52
community is like almost like going to big impact.
47:53
big impact.
47:54
big impact. um means the you don't need coding
47:57
um means the you don't need coding
47:57
um means the you don't need coding communities anymore if it's the old code
47:59
communities anymore if it's the old code
47:59
communities anymore if it's the old code but if there's newer things always
48:01
but if there's newer things always
48:01
but if there's newer things always coming right open source is always about
48:03
coming right open source is always about
48:03
coming right open source is always about building new things generative AI can
48:06
building new things generative AI can
48:06
building new things generative AI can build a new platform but it cannot come
48:09
build a new platform but it cannot come
48:09
build a new platform but it cannot come up with a new ideas right like a new you
48:12
up with a new ideas right like a new you
48:12
up with a new ideas right like a new you if you ask they build a system for
48:14
if you ask they build a system for
48:14
if you ask they build a system for rocket scientists it doesn't have
48:15
rocket scientists it doesn't have
48:15
rocket scientists it doesn't have anything it'll be hard for it to build
48:18
anything it'll be hard for it to build
48:18
anything it'll be hard for it to build so it's just going to reduce the number
48:20
so it's just going to reduce the number
48:20
so it's just going to reduce the number of what I see I'll answer I think your
48:22
of what I see I'll answer I think your
48:22
of what I see I'll answer I think your question is what is The future of
48:23
question is what is The future of
48:24
question is what is The future of programmers and software developers
48:26
programmers and software developers
48:26
programmers and software developers there are two future. One is that
48:29
there are two future. One is that
48:29
there are two future. One is that number of regular
48:32
number of regular
48:32
number of regular programming jobs will reduce like say
48:35
programming jobs will reduce like say
48:35
programming jobs will reduce like say front-end developers, back-end
48:37
front-end developers, back-end
48:37
front-end developers, back-end developers, the number of complex
48:40
developers, the number of complex
48:40
developers, the number of complex projects and complex like I said domain
48:42
projects and complex like I said domain
48:42
projects and complex like I said domain knowledge
48:43
knowledge
48:43
knowledge domain knowledge will be really
48:45
domain knowledge will be really
48:45
domain knowledge will be really important. The skill set of problem
48:47
important. The skill set of problem
48:47
important. The skill set of problem solve will be important. prompt
48:49
solve will be important. prompt
48:50
solve will be important. prompt engineering become a key skill everybody
48:52
engineering become a key skill everybody
48:52
engineering become a key skill everybody should know rather than coding now this
48:54
should know rather than coding now this
48:54
should know rather than coding now this will be a prompt engineering
48:56
will be a prompt engineering
48:56
will be a prompt engineering okay
48:56
okay
48:56
okay and prompt designing so everybody should
48:58
and prompt designing so everybody should
48:58
and prompt designing so everybody should learn how to prompt is not just talking
49:01
learn how to prompt is not just talking
49:01
learn how to prompt is not just talking to AI saying oh build me a website
49:03
to AI saying oh build me a website
49:03
to AI saying oh build me a website prompt has a technique and it's not a
49:06
prompt has a technique and it's not a
49:06
prompt has a technique and it's not a it's not a two-year course it can be
49:08
it's not a two-year course it can be
49:08
it's not a two-year course it can be done in a month right in one month you
49:10
done in a month right in one month you
49:10
done in a month right in one month you can learn all these techniques and the
49:12
can learn all these techniques and the
49:12
can learn all these techniques and the all you're doing is how AI thinks and
49:15
all you're doing is how AI thinks and
49:15
all you're doing is how AI thinks and how to communicate with them it's like
49:17
how to communicate with them it's like
49:17
how to communicate with them it's like if I'm an Indian I don't know English
49:19
if I'm an Indian I don't know English
49:19
if I'm an Indian I don't know English and I'm talking to a professor who in
49:21
and I'm talking to a professor who in
49:21
and I'm talking to a professor who in who's English from US I need to know
49:24
who's English from US I need to know
49:24
who's English from US I need to know English so I can speak with him same
49:25
English so I can speak with him same
49:25
English so I can speak with him same thing as AI generative AI you need to
49:28
thing as AI generative AI you need to
49:28
thing as AI generative AI you need to learn it will also help you reduce the
49:31
learn it will also help you reduce the
49:31
learn it will also help you reduce the cost if you start talking to AI garbage
49:33
cost if you start talking to AI garbage
49:33
cost if you start talking to AI garbage and it's taking forever and you just
49:35
and it's taking forever and you just
49:35
and it's taking forever and you just telling a stories it's going to cost you
49:37
telling a stories it's going to cost you
49:37
telling a stories it's going to cost you a lot because every sentence you say
49:41
a lot because every sentence you say
49:41
a lot because every sentence you say even you say hi everybody's typing hi in
49:44
even you say hi everybody's typing hi in
49:44
even you say hi everybody's typing hi in in JPD it's costing them every month I
49:49
in JPD it's costing them every month I
49:49
in JPD it's costing them every month I think $30 million.
49:51
think $30 million.
49:51
think $30 million. So AI doesn't need high, right? You
49:53
So AI doesn't need high, right? You
49:53
So AI doesn't need high, right? You don't need to say hi to it.
49:55
don't need to say hi to it.
49:55
don't need to say hi to it. So these are the key skills. W coding,
49:57
So these are the key skills. W coding,
49:57
So these are the key skills. W coding, prompt engineering, uh system design,
50:00
prompt engineering, uh system design,
50:00
prompt engineering, uh system design, creativity, problem solving, domain
50:02
creativity, problem solving, domain
50:02
creativity, problem solving, domain expertise.
50:04
expertise.
50:04
expertise. Um these are the key skills I would
50:06
Um these are the key skills I would
50:06
Um these are the key skills I would focus a lot more on.
50:08
focus a lot more on.
50:08
focus a lot more on. Okay. Thank you sir. Thank you. Thank
50:09
Okay. Thank you sir. Thank you. Thank
50:10
Okay. Thank you sir. Thank you. Thank you. Thank you.
50:11
you. Thank you.
50:11
you. Thank you. So Dr. You can please ask your question
50:14
So Dr. You can please ask your question
50:14
So Dr. You can please ask your question followed by Dr. Madu.
50:17
followed by Dr. Madu.
50:17
followed by Dr. Madu. Welcome sir.
50:19
Welcome sir.
50:20
Welcome sir. It has been nice uh listening you after
50:23
It has been nice uh listening you after
50:23
It has been nice uh listening you after a long time and uh a compliment where
50:26
a long time and uh a compliment where
50:26
a long time and uh a compliment where you have uh just muted all the teachers
50:30
you have uh just muted all the teachers
50:30
you have uh just muted all the teachers who didn't have any habit of listening
50:32
who didn't have any habit of listening
50:32
who didn't have any habit of listening to uh anything. So my question is like
50:36
to uh anything. So my question is like
50:36
to uh anything. So my question is like uh I'm not talking about any technical
50:38
uh I'm not talking about any technical
50:38
uh I'm not talking about any technical you have been in uh foreign as well as
50:42
you have been in uh foreign as well as
50:42
you have been in uh foreign as well as India. So uh what difference is there in
50:45
India. So uh what difference is there in
50:45
India. So uh what difference is there in the teaching uh facility is how the
50:49
the teaching uh facility is how the
50:49
the teaching uh facility is how the courses are being taught out there by
50:51
courses are being taught out there by
50:51
courses are being taught out there by the teachers. Is there any uh teaching
50:53
the teachers. Is there any uh teaching
50:53
the teachers. Is there any uh teaching methodology difference that exist?
50:57
methodology difference that exist?
50:57
methodology difference that exist? That's a great question. That's great
50:58
That's a great question. That's great
50:58
That's a great question. That's great question. Yeah, there's lot of
50:59
question. Yeah, there's lot of
51:00
question. Yeah, there's lot of differences here. So number one
51:04
differences here. So number one
51:04
differences here. So number one Yeah, please.
51:05
Yeah, please.
51:05
Yeah, please. Yeah, there's a lot of differences. I my
51:08
Yeah, there's a lot of differences. I my
51:08
Yeah, there's a lot of differences. I my son is going to University of San Diego
51:10
son is going to University of San Diego
51:10
son is going to University of San Diego and they have a class on cryptocurrency
51:13
and they have a class on cryptocurrency
51:13
and they have a class on cryptocurrency NFTs
51:15
NFTs
51:15
NFTs and he you know teachers first asked
51:17
and he you know teachers first asked
51:17
and he you know teachers first asked student what is your background what
51:19
student what is your background what
51:19
student what is your background what your parents do they get to know a lot
51:21
your parents do they get to know a lot
51:21
your parents do they get to know a lot of background so he told me that I'm we
51:25
of background so he told me that I'm we
51:25
of background so he told me that I'm we have our own token cryptocurrency my dad
51:27
have our own token cryptocurrency my dad
51:27
have our own token cryptocurrency my dad does this so teacher asked can you ask
51:29
does this so teacher asked can you ask
51:29
does this so teacher asked can you ask your dad if he can come become a guest
51:31
your dad if he can come become a guest
51:31
your dad if he can come become a guest guest lecturer and I said yes so there's
51:35
guest lecturer and I said yes so there's
51:35
guest lecturer and I said yes so there's a lot of practical knowledge always go
51:37
a lot of practical knowledge always go
51:37
a lot of practical knowledge always go in academia rather than teaching
51:39
in academia rather than teaching
51:39
in academia rather than teaching theoretical stuff they always have some
51:41
theoretical stuff they always have some
51:41
theoretical stuff they always have some companies some CEOs some founder
51:43
companies some CEOs some founder
51:43
companies some CEOs some founder relevant to that topic coming speaking
51:46
relevant to that topic coming speaking
51:46
relevant to that topic coming speaking there's a finance class they probably
51:49
there's a finance class they probably
51:49
there's a finance class they probably have multiple people come in seminister
51:51
have multiple people come in seminister
51:51
have multiple people come in seminister who are really building these we're
51:53
who are really building these we're
51:53
who are really building these we're running finance companies if there's a
51:56
running finance companies if there's a
51:56
running finance companies if there's a banking class they will have banking CEO
51:58
banking class they will have banking CEO
51:58
banking class they will have banking CEO came coming all the time that's a big
52:00
came coming all the time that's a big
52:00
came coming all the time that's a big difference so the students are always
52:03
difference so the students are always
52:03
difference so the students are always learning that what the future could If
52:06
learning that what the future could If
52:06
learning that what the future could If they learn this what how this work and
52:09
they learn this what how this work and
52:09
they learn this what how this work and they give practical examples they don't
52:11
they give practical examples they don't
52:11
they give practical examples they don't just teach you they'll exactly show you
52:14
just teach you they'll exactly show you
52:14
just teach you they'll exactly show you and they'll say come visit my bank I'll
52:16
and they'll say come visit my bank I'll
52:16
and they'll say come visit my bank I'll show you how we are doing all this so
52:18
show you how we are doing all this so
52:18
show you how we are doing all this so there's a lot more what we try to do
52:20
there's a lot more what we try to do
52:20
there's a lot more what we try to do with MCN we try to bring a student to
52:22
with MCN we try to bring a student to
52:22
with MCN we try to bring a student to our office at MCN and say look this is
52:24
our office at MCN and say look this is
52:24
our office at MCN and say look this is how this is how projects are done this
52:27
how this is how projects are done this
52:27
how this is how projects are done this is a project manager they do that a lot
52:31
is a project manager they do that a lot
52:31
is a project manager they do that a lot and they're also they're if you look at
52:33
and they're also they're if you look at
52:33
and they're also they're if you look at their books the reason education is
52:35
their books the reason education is
52:35
their books the reason education is costly in the US they upgrade their
52:38
costly in the US they upgrade their
52:38
costly in the US they upgrade their curriculum their books every year.
52:42
curriculum their books every year.
52:42
curriculum their books every year. So in today's this year you will have
52:45
So in today's this year you will have
52:45
So in today's this year you will have last year's history that's why they are
52:47
last year's history that's why they are
52:47
last year's history that's why they are winning the war and they have all the
52:49
winning the war and they have all the
52:49
winning the war and they have all the resources obviously um so they they're
52:52
resources obviously um so they they're
52:52
resources obviously um so they they're more practical they focus on a lot more
52:53
more practical they focus on a lot more
52:54
more practical they focus on a lot more practical and their teachers are also
52:55
practical and their teachers are also
52:56
practical and their teachers are also they are in the industry a lot of these
52:57
they are in the industry a lot of these
52:57
they are in the industry a lot of these people come from who are teaching are
52:59
people come from who are teaching are
53:00
people come from who are teaching are actually come from the industries and
53:03
actually come from the industries and
53:03
actually come from the industries and lot of them they teach because they love
53:05
lot of them they teach because they love
53:05
lot of them they teach because they love to teach it's not a job for them
53:08
to teach it's not a job for them
53:08
to teach it's not a job for them it's their passion same thing with the
53:10
it's their passion same thing with the
53:10
it's their passion same thing with the coding if you'll See lot more coders
53:13
coding if you'll See lot more coders
53:13
coding if you'll See lot more coders from US and Europe. They are very smart.
53:16
from US and Europe. They are very smart.
53:16
from US and Europe. They are very smart. They are good. They are there to build
53:18
They are good. They are there to build
53:18
They are good. They are there to build India. Why India has never built a Linux
53:20
India. Why India has never built a Linux
53:20
India. Why India has never built a Linux system? Why came from Europe? Why all
53:22
system? Why came from Europe? Why all
53:22
system? Why came from Europe? Why all the computer systems are developed in
53:24
the computer systems are developed in
53:24
the computer systems are developed in these countries? Because people here
53:27
these countries? Because people here
53:27
these countries? Because people here what they do is they do with the
53:29
what they do is they do with the
53:29
what they do is they do with the passion. They don't do because it's I'll
53:31
passion. They don't do because it's I'll
53:31
passion. They don't do because it's I'll get a job.
53:33
get a job.
53:33
get a job. That's the mindset here. Unfortunately
53:35
That's the mindset here. Unfortunately
53:35
That's the mindset here. Unfortunately in India our first priority is obviously
53:37
in India our first priority is obviously
53:37
in India our first priority is obviously getting a job because we come from these
53:39
getting a job because we come from these
53:39
getting a job because we come from these humble background. Nothing wrong with
53:41
humble background. Nothing wrong with
53:41
humble background. Nothing wrong with that. That is our need here. Nobody's
53:44
that. That is our need here. Nobody's
53:44
that. That is our need here. Nobody's hungry here. They they don't need to get
53:46
hungry here. They they don't need to get
53:46
hungry here. They they don't need to get a job. They're okay. That's the
53:47
a job. They're okay. That's the
53:48
a job. They're okay. That's the difference between a developing country
53:50
difference between a developing country
53:50
difference between a developing country and developed C, right? That's big
53:51
and developed C, right? That's big
53:51
and developed C, right? That's big difference.
53:55
Thank you.
53:57
Thank you.
53:57
Thank you. Please.
53:58
Please.
53:58
Please. Uh thank you sir. Uh my question is
54:01
Uh thank you sir. Uh my question is
54:01
Uh thank you sir. Uh my question is related to you were just talking about
54:03
related to you were just talking about
54:03
related to you were just talking about that future is low code and no code uh
54:07
that future is low code and no code uh
54:07
that future is low code and no code uh development. So for the students what uh
54:11
development. So for the students what uh
54:11
development. So for the students what uh skill set is actually required for going
54:13
skill set is actually required for going
54:13
skill set is actually required for going on these tools uh for low code no code
54:16
on these tools uh for low code no code
54:16
on these tools uh for low code no code and what are the uh prime tools you
54:19
and what are the uh prime tools you
54:19
and what are the uh prime tools you suggest that we should choose and uh to
54:22
suggest that we should choose and uh to
54:22
suggest that we should choose and uh to take these students for their skill
54:24
take these students for their skill
54:24
take these students for their skill enhancement.
54:26
enhancement.
54:26
enhancement. It's a great question. I think the you
54:28
It's a great question. I think the you
54:28
It's a great question. I think the you should still teach them fundamentals.
54:30
should still teach them fundamentals.
54:30
should still teach them fundamentals. That's no no I'm not saying that guys.
54:32
That's no no I'm not saying that guys.
54:32
That's no no I'm not saying that guys. I'm not saying they should not know C++.
54:35
I'm not saying they should not know C++.
54:35
I'm not saying they should not know C++. They need to know C++. They need to know
54:37
They need to know C++. They need to know
54:37
They need to know C++. They need to know algorithms. They need but more focus on
54:39
algorithms. They need but more focus on
54:39
algorithms. They need but more focus on algorithm problem solving right there
54:42
algorithm problem solving right there
54:42
algorithm problem solving right there rather than building front page. You can
54:45
rather than building front page. You can
54:45
rather than building front page. You can use tools say you know what guys you
54:47
use tools say you know what guys you
54:47
use tools say you know what guys you know how what the website is. You know
54:48
know how what the website is. You know
54:48
know how what the website is. You know how what HTML is. You know how it works.
54:51
how what HTML is. You know how it works.
54:51
how what HTML is. You know how it works. Now let's build don't write code by
54:53
Now let's build don't write code by
54:53
Now let's build don't write code by hand.
54:54
hand.
54:54
hand. Let's use this tool to write my front
54:57
Let's use this tool to write my front
54:57
Let's use this tool to write my front you know web web page. So that would
54:59
you know web web page. So that would
55:00
you know web web page. So that would save them lot of time. That's one thing
55:02
save them lot of time. That's one thing
55:02
save them lot of time. That's one thing I would say and we can discuss on those
55:04
I would say and we can discuss on those
55:04
I would say and we can discuss on those tools to be honest. I think we need a
55:06
tools to be honest. I think we need a
55:06
tools to be honest. I think we need a other planning where we can plan help
55:09
other planning where we can plan help
55:09
other planning where we can plan help plan the curriculum for you that is more
55:11
plan the curriculum for you that is more
55:11
plan the curriculum for you that is more practical for the next two years for
55:14
practical for the next two years for
55:14
practical for the next two years for students and it's there's so many so I
55:16
students and it's there's so many so I
55:16
students and it's there's so many so I have to look at we have to think about
55:18
have to look at we have to think about
55:18
have to look at we have to think about it rather than saying there's a lot of
55:20
it rather than saying there's a lot of
55:20
it rather than saying there's a lot of tools and you have to pick some are
55:21
tools and you have to pick some are
55:21
tools and you have to pick some are costly some are cheaper some are free
55:24
costly some are cheaper some are free
55:24
costly some are cheaper some are free so you have to also see the cost right
55:28
so you have to also see the cost right
55:28
so you have to also see the cost right some are increasing their cost every
55:29
some are increasing their cost every
55:29
some are increasing their cost every month right you also don't want to use
55:31
month right you also don't want to use
55:31
month right you also don't want to use the tool in college that would you know
55:35
the tool in college that would you know
55:35
the tool in college that would you know um we can definitely help you with that.
55:37
um we can definitely help you with that.
55:37
um we can definitely help you with that. Um
55:38
Um
55:38
Um so there might be some uh opensource
55:40
so there might be some uh opensource
55:40
so there might be some uh opensource tools also in this no and low code no
55:44
tools also in this no and low code no
55:44
tools also in this no and low code no code platforms.
55:45
code platforms.
55:45
code platforms. So the so these jai tools they all use
55:50
So the so these jai tools they all use
55:50
So the so these jai tools they all use one of the models GPT models behind the
55:52
one of the models GPT models behind the
55:52
one of the models GPT models behind the scene that means somebody has to pay for
55:54
scene that means somebody has to pay for
55:54
scene that means somebody has to pay for it. Okay,
55:56
it. Okay,
55:56
it. Okay, it's cloud model like if you go in a
55:58
it's cloud model like if you go in a
55:58
it's cloud model like if you go in a cloud Microsoft will say Google will say
56:01
cloud Microsoft will say Google will say
56:01
cloud Microsoft will say Google will say oh you're a student is free that's great
56:03
oh you're a student is free that's great
56:04
oh you're a student is free that's great to learn but at some point they start
56:06
to learn but at some point they start
56:06
to learn but at some point they start charging it right that's the moral going
56:08
charging it right that's the moral going
56:08
charging it right that's the moral going so in in AI world nothing is free
56:11
so in in AI world nothing is free
56:11
so in in AI world nothing is free because AI itself is costly
56:14
because AI itself is costly
56:14
because AI itself is costly open source what used to be you run tool
56:16
open source what used to be you run tool
56:16
open source what used to be you run tool on your own computer and you're using
56:18
on your own computer and you're using
56:18
on your own computer and you're using your own computer resources but in a
56:20
your own computer resources but in a
56:20
your own computer resources but in a this code generation generative AI it's
56:23
this code generation generative AI it's
56:23
this code generation generative AI it's not generated by by your computer it's
56:25
not generated by by your computer it's
56:25
not generated by by your computer it's generated by a LLM sitting somewhere in
56:29
generated by a LLM sitting somewhere in
56:29
generated by a LLM sitting somewhere in a server that's costing lot of money
56:33
a server that's costing lot of money
56:33
a server that's costing lot of money right it doesn't mean that there's not
56:35
right it doesn't mean that there's not
56:35
right it doesn't mean that there's not going to be a local LLM some small LM I
56:37
going to be a local LLM some small LM I
56:38
going to be a local LLM some small LM I think Rohit know there are some tools
56:39
think Rohit know there are some tools
56:39
think Rohit know there are some tools you can use them
56:41
you can use them
56:41
you can use them and they are open source they can run on
56:43
and they are open source they can run on
56:43
and they are open source they can run on your local we can we can look into that
56:45
your local we can we can look into that
56:45
your local we can we can look into that okay um thank you
56:46
okay um thank you
56:46
okay um thank you yeah I I we have to think on that and
56:48
yeah I I we have to think on that and
56:48
yeah I I we have to think on that and maybe that's a good
56:49
maybe that's a good
56:49
maybe that's a good thank again for this because I'm
56:51
thank again for this because I'm
56:51
thank again for this because I'm planning something for taking some part
56:55
planning something for taking some part
56:55
planning something for taking some part on and I have discussed with Atul and uh
56:58
on and I have discussed with Atul and uh
56:58
on and I have discussed with Atul and uh Rohit also so we'll discuss on an other
57:00
Rohit also so we'll discuss on an other
57:00
Rohit also so we'll discuss on an other platform on that. Okay. Thank you sir.
57:02
platform on that. Okay. Thank you sir.
57:02
platform on that. Okay. Thank you sir. Thank you.
57:03
Thank you.
57:03
Thank you. Thank you Dr. Mu. Dr. Rani if you can
57:06
Thank you Dr. Mu. Dr. Rani if you can
57:06
Thank you Dr. Mu. Dr. Rani if you can just ask a question.
57:11
Yes good evening sir.
57:14
Yes good evening sir.
57:14
Yes good evening sir. Uh sir my question is basically related
57:16
Uh sir my question is basically related
57:16
Uh sir my question is basically related to education and teaching. In your
57:19
to education and teaching. In your
57:19
to education and teaching. In your opinion uh will generative AI replace
57:22
opinion uh will generative AI replace
57:22
opinion uh will generative AI replace all traditional methods in future?
57:26
all traditional methods in future?
57:26
all traditional methods in future? No, I don't think uh generative AI will
57:29
No, I don't think uh generative AI will
57:29
No, I don't think uh generative AI will replace all traditional methods but I
57:31
replace all traditional methods but I
57:31
replace all traditional methods but I think it will change some things right.
57:34
think it will change some things right.
57:34
think it will change some things right. to um like in your you know when you
57:38
to um like in your you know when you
57:38
to um like in your you know when you teach you're teaching a lot of things
57:39
teach you're teaching a lot of things
57:39
teach you're teaching a lot of things beside just the coding or just this part
57:42
beside just the coding or just this part
57:42
beside just the coding or just this part content generation right teaching
57:44
content generation right teaching
57:44
content generation right teaching includes um personalities including
57:47
includes um personalities including
57:47
includes um personalities including students speed there's a lot more goes
57:49
students speed there's a lot more goes
57:49
students speed there's a lot more goes in teaching part I don't think it can
57:52
in teaching part I don't think it can
57:52
in teaching part I don't think it can replace teaching but it can definitely
57:55
replace teaching but it can definitely
57:55
replace teaching but it can definitely replace for example if I need to learn
57:59
replace for example if I need to learn
57:59
replace for example if I need to learn how to build a website and there's a
58:01
how to build a website and there's a
58:01
how to build a website and there's a class you have front end like I don't
58:03
class you have front end like I don't
58:03
class you have front end like I don't know Python development
58:05
know Python development
58:05
know Python development python development who's just teaching
58:07
python development who's just teaching
58:07
python development who's just teaching coding that doesn't need programmer that
58:10
coding that doesn't need programmer that
58:10
coding that doesn't need programmer that doesn't need teacher anymore I can do
58:12
doesn't need teacher anymore I can do
58:12
doesn't need teacher anymore I can do that by using charg or any other tool in
58:15
that by using charg or any other tool in
58:15
that by using charg or any other tool in the coming time or I need a tutor I
58:18
the coming time or I need a tutor I
58:18
the coming time or I need a tutor I don't need a tutor now AI will become a
58:20
don't need a tutor now AI will become a
58:20
don't need a tutor now AI will become a tutor so future they're saying that
58:22
tutor so future they're saying that
58:22
tutor so future they're saying that there's going to be no not f now already
58:25
there's going to be no not f now already
58:25
there's going to be no not f now already there going to be AI teachers there
58:26
there going to be AI teachers there
58:26
there going to be AI teachers there going to be AI doctors there AI lawyers
58:30
going to be AI doctors there AI lawyers
58:30
going to be AI doctors there AI lawyers they're already there literally you are
58:32
they're already there literally you are
58:32
they're already there literally you are talking to Um so that part will be
58:35
talking to Um so that part will be
58:35
talking to Um so that part will be replaced but if you says
58:38
replaced but if you says
58:38
replaced but if you says um can you teach me philosophy AI I
58:41
um can you teach me philosophy AI I
58:41
um can you teach me philosophy AI I don't think it can really teach
58:42
don't think it can really teach
58:42
don't think it can really teach philosophy it can not teach you know all
58:45
philosophy it can not teach you know all
58:45
philosophy it can not teach you know all those things that a human element is
58:47
those things that a human element is
58:47
those things that a human element is involved management for example but
58:50
involved management for example but
58:50
involved management for example but coding is something yes coding can be
58:53
coding is something yes coding can be
58:53
coding is something yes coding can be replaced by AI learning coding
58:57
replaced by AI learning coding
58:57
replaced by AI learning coding thank you sir
58:59
thank you sir
58:59
thank you sir yeah thank you everyone so uh do we have
59:02
yeah thank you everyone so uh do we have
59:02
yeah thank you everyone so uh do we have more questions questions. Uh otherwise
59:05
more questions questions. Uh otherwise
59:05
more questions questions. Uh otherwise we can move for the fistation part.
59:12
Sir I have a question.
59:14
Sir I have a question.
59:14
Sir I have a question. Yes. Yes please.
59:16
Yes. Yes please.
59:16
Yes. Yes please. Very good evening to all of you. Happy
59:18
Very good evening to all of you. Happy
59:18
Very good evening to all of you. Happy teachers day. Good evening Mah sir. Uh
59:21
teachers day. Good evening Mah sir. Uh
59:21
teachers day. Good evening Mah sir. Uh my question is uh related to a
59:23
my question is uh related to a
59:23
my question is uh related to a non-technical person. Suppose somebody
59:25
non-technical person. Suppose somebody
59:25
non-technical person. Suppose somebody has worked uh from MBA background or
59:28
has worked uh from MBA background or
59:28
has worked uh from MBA background or somebody from biotech department uh
59:30
somebody from biotech department uh
59:30
somebody from biotech department uh biotech background and they want to
59:32
biotech background and they want to
59:32
biotech background and they want to shift to uh this technical world of data
59:35
shift to uh this technical world of data
59:35
shift to uh this technical world of data analyst or data scientists. So could MCN
59:38
analyst or data scientists. So could MCN
59:38
analyst or data scientists. So could MCN solutions or C# uh can provide some
59:40
solutions or C# uh can provide some
59:40
solutions or C# uh can provide some internships in that case so that it
59:43
internships in that case so that it
59:43
internships in that case so that it could help non tech people to move
59:45
could help non tech people to move
59:45
could help non tech people to move towards technical part. That's a great
59:48
towards technical part. That's a great
59:48
towards technical part. That's a great question and um to be honest C# corner
59:51
question and um to be honest C# corner
59:51
question and um to be honest C# corner is it's been a community right we never
59:53
is it's been a community right we never
59:53
is it's been a community right we never become a business and we try different
59:56
become a business and we try different
59:56
become a business and we try different things but that means we don't have a
59:57
things but that means we don't have a
59:57
things but that means we don't have a lot of resources because it's like a
1:00:00
lot of resources because it's like a
1:00:00
lot of resources because it's like a free things we are giving a lot when you
1:00:01
free things we are giving a lot when you
1:00:01
free things we are giving a lot when you give a lot then we companies they we
1:00:04
give a lot then we companies they we
1:00:04
give a lot then we companies they we come in challenges I'll be honest with
1:00:06
come in challenges I'll be honest with
1:00:06
come in challenges I'll be honest with you we run in challenges paying salaries
1:00:09
you we run in challenges paying salaries
1:00:09
you we run in challenges paying salaries hiring more resources and we don't have
1:00:12
hiring more resources and we don't have
1:00:12
hiring more resources and we don't have don't people think if you think like we
1:00:14
don't people think if you think like we
1:00:14
don't people think if you think like we are big company running you know
1:00:15
are big company running you know
1:00:15
are big company running you know millions of dollars that's not we are we
1:00:18
millions of dollars that's not we are we
1:00:18
millions of dollars that's not we are we are just trying to help as many people
1:00:20
are just trying to help as many people
1:00:20
are just trying to help as many people as as a community communities don't have
1:00:22
as as a community communities don't have
1:00:22
as as a community communities don't have money they don't have resource with MCN
1:00:25
money they don't have resource with MCN
1:00:25
money they don't have resource with MCN solutions with a lot of shift in AI we
1:00:27
solutions with a lot of shift in AI we
1:00:27
solutions with a lot of shift in AI we also don't have a lot of projects or
1:00:29
also don't have a lot of projects or
1:00:29
also don't have a lot of projects or work we've been helping a lot of people
1:00:32
work we've been helping a lot of people
1:00:32
work we've been helping a lot of people but what happens is we train a lot of
1:00:34
but what happens is we train a lot of
1:00:34
but what happens is we train a lot of people they always
1:00:36
people they always
1:00:36
people they always our paid resources has to be consumed in
1:00:38
our paid resources has to be consumed in
1:00:38
our paid resources has to be consumed in that and that's when we we kind of lose
1:00:41
that and that's when we we kind of lose
1:00:41
that and that's when we we kind of lose a lot of um you know our people so
1:00:44
a lot of um you know our people so
1:00:44
a lot of um you know our people so that's we kind MCN is also
1:00:46
that's we kind MCN is also
1:00:46
that's we kind MCN is also almost at the brink where we are not you
1:00:49
almost at the brink where we are not you
1:00:49
almost at the brink where we are not you know we not going to do lot of big
1:00:51
know we not going to do lot of big
1:00:51
know we not going to do lot of big projects right this is a challenge
1:00:52
projects right this is a challenge
1:00:52
projects right this is a challenge there's a lot of shift going on so I
1:00:55
there's a lot of shift going on so I
1:00:55
there's a lot of shift going on so I would yeah I mean
1:00:58
would yeah I mean
1:00:58
would yeah I mean this is the time I think it's not moving
1:01:00
this is the time I think it's not moving
1:01:00
this is the time I think it's not moving into technical to be honest this is more
1:01:02
into technical to be honest this is more
1:01:02
into technical to be honest this is more time to moving into creativity moving to
1:01:05
time to moving into creativity moving to
1:01:05
time to moving into creativity moving to business it's moving into the AI prompt
1:01:07
business it's moving into the AI prompt
1:01:07
business it's moving into the AI prompt engineering technical moving into
1:01:09
engineering technical moving into
1:01:09
engineering technical moving into technical field is the wrong time now
1:01:12
technical field is the wrong time now
1:01:12
technical field is the wrong time now because there'll be less jobs in
1:01:13
because there'll be less jobs in
1:01:13
because there'll be less jobs in technical
1:01:16
And with the data analyst in that kind
1:01:18
And with the data analyst in that kind
1:01:18
And with the data analyst in that kind of field, you have to have a degree
1:01:19
of field, you have to have a degree
1:01:19
of field, you have to have a degree because that required lot of education
1:01:21
because that required lot of education
1:01:21
because that required lot of education that required fundamentals. I don't
1:01:23
that required fundamentals. I don't
1:01:23
that required fundamentals. I don't think um a company can teach you the
1:01:26
think um a company can teach you the
1:01:26
think um a company can teach you the data analyst from fundamentals, right?
1:01:28
data analyst from fundamentals, right?
1:01:28
data analyst from fundamentals, right? They don't do there's there's a project
1:01:30
They don't do there's there's a project
1:01:30
They don't do there's there's a project where you already need to you have to
1:01:31
where you already need to you have to
1:01:32
where you already need to you have to know a lot of things before you even
1:01:33
know a lot of things before you even
1:01:33
know a lot of things before you even join a company.
1:01:36
join a company.
1:01:36
join a company. Okay. Thank
1:01:36
Okay. Thank
1:01:36
Okay. Thank those kinds are hard to teach unless you
1:01:39
those kinds are hard to teach unless you
1:01:39
those kinds are hard to teach unless you you have a degree.
1:01:41
you have a degree.
1:01:41
you have a degree. Sure, sir. Thank you. All
1:01:43
Sure, sir. Thank you. All
1:01:43
Sure, sir. Thank you. All right, we can move on now. I think this
1:01:45
right, we can move on now. I think this
1:01:45
right, we can move on now. I think this is great. Um, let's Yeah, next stage.
1:01:48
is great. Um, let's Yeah, next stage.
1:01:48
is great. Um, let's Yeah, next stage. Over to you, Simon.
1:01:55
All right, everyone. Thank you so much.
1:01:56
All right, everyone. Thank you so much.
1:01:56
All right, everyone. Thank you so much. You know, it's been about almost an
1:01:57
You know, it's been about almost an
1:01:57
You know, it's been about almost an hour. We have joined in, right? And I
1:01:59
hour. We have joined in, right? And I
1:01:59
hour. We have joined in, right? And I know it's very late in the evening. So,
1:02:00
know it's very late in the evening. So,
1:02:00
know it's very late in the evening. So, thank you so much, Mahir, and everyone
1:02:03
thank you so much, Mahir, and everyone
1:02:03
thank you so much, Mahir, and everyone still here. I know this was supposed to
1:02:05
still here. I know this was supposed to
1:02:05
still here. I know this was supposed to start in the beginning, right? So, we're
1:02:07
start in the beginning, right? So, we're
1:02:07
start in the beginning, right? So, we're just going to go through everyone who's
1:02:09
just going to go through everyone who's
1:02:09
just going to go through everyone who's in the meeting. I know there are quite a
1:02:10
in the meeting. I know there are quite a
1:02:10
in the meeting. I know there are quite a few of us joining from all part of of
1:02:13
few of us joining from all part of of
1:02:13
few of us joining from all part of of India. So I'm gonna start taking
1:02:16
India. So I'm gonna start taking
1:02:16
India. So I'm gonna start taking everybody's name in the order from A to
1:02:18
everybody's name in the order from A to
1:02:18
everybody's name in the order from A to Z right and then you all can unmute
1:02:21
Z right and then you all can unmute
1:02:21
Z right and then you all can unmute yourself and do your quick intro so that
1:02:23
yourself and do your quick intro so that
1:02:23
yourself and do your quick intro so that later on also in the WhatsApp group that
1:02:25
later on also in the WhatsApp group that
1:02:25
later on also in the WhatsApp group that we have right we all can connect with
1:02:27
we have right we all can connect with
1:02:27
we have right we all can connect with each other and then plan something uh
1:02:29
each other and then plan something uh
1:02:29
each other and then plan something uh something nice. So first we'll start
1:02:31
something nice. So first we'll start
1:02:31
something nice. So first we'll start with the Dr. AJ he's a professor at
1:02:33
with the Dr. AJ he's a professor at
1:02:33
with the Dr. AJ he's a professor at computer science and engineering at
1:02:35
computer science and engineering at
1:02:35
computer science and engineering at runta international cities university
1:02:36
runta international cities university
1:02:36
runta international cities university billay and our gracious host of hacking
1:02:40
billay and our gracious host of hacking
1:02:40
billay and our gracious host of hacking 2025
1:02:42
2025
1:02:42
2025 hello sir and uh yeah it's all you now
1:02:46
hello sir and uh yeah it's all you now
1:02:46
hello sir and uh yeah it's all you now you can mute yourself
1:02:52
Dr. Can you hear us?
1:02:56
Dr. Can you hear us?
1:02:56
Dr. Can you hear us? Yeah. Hello. Hi.
1:02:58
Yeah. Hello. Hi.
1:02:58
Yeah. Hello. Hi. Good evening all.
1:02:59
Good evening all.
1:02:59
Good evening all. Yeah.
1:03:01
Yeah.
1:03:02
Yeah. All right. You know, we just wanted to,
1:03:03
All right. You know, we just wanted to,
1:03:03
All right. You know, we just wanted to, you know, if you could just do a quick
1:03:04
you know, if you could just do a quick
1:03:04
you know, if you could just do a quick intro about about you, who you are and
1:03:07
intro about about you, who you are and
1:03:07
intro about about you, who you are and everybody will come to know about you
1:03:08
everybody will come to know about you
1:03:08
everybody will come to know about you and then, you know, maybe we can connect
1:03:10
and then, you know, maybe we can connect
1:03:10
and then, you know, maybe we can connect with each other in the WhatsApp
1:03:11
with each other in the WhatsApp
1:03:11
with each other in the WhatsApp community that
1:03:12
community that
1:03:12
community that Yeah. Yeah. Yeah. Okay. So, my name is
1:03:14
Yeah. Yeah. Yeah. Okay. So, my name is
1:03:14
Yeah. Yeah. Yeah. Okay. So, my name is Dr. Ajay Kushwa and uh I'm professor of
1:03:17
Dr. Ajay Kushwa and uh I'm professor of
1:03:17
Dr. Ajay Kushwa and uh I'm professor of computer science and engineering from
1:03:19
computer science and engineering from
1:03:19
computer science and engineering from Roomta International Skill University.
1:03:21
Roomta International Skill University.
1:03:21
Roomta International Skill University. Earlier we were known by Runa College of
1:03:23
Earlier we were known by Runa College of
1:03:23
Earlier we were known by Runa College of Engineing and Technology, one of the
1:03:25
Engineing and Technology, one of the
1:03:25
Engineing and Technology, one of the leading college in central India and now
1:03:28
leading college in central India and now
1:03:28
leading college in central India and now we have just come from that uh I mean
1:03:30
we have just come from that uh I mean
1:03:30
we have just come from that uh I mean transformation has been done and now we
1:03:33
transformation has been done and now we
1:03:33
transformation has been done and now we are Ruma International Skill University
1:03:35
are Ruma International Skill University
1:03:35
are Ruma International Skill University Bailay. It is in Chhattisgarh and uh
1:03:38
Bailay. It is in Chhattisgarh and uh
1:03:38
Bailay. It is in Chhattisgarh and uh this university what we are talking
1:03:40
this university what we are talking
1:03:40
this university what we are talking about is something different from rest
1:03:42
about is something different from rest
1:03:42
about is something different from rest of the universities. We are having
1:03:44
of the universities. We are having
1:03:44
of the universities. We are having tie-ups with Cambridge and Harvard and
1:03:46
tie-ups with Cambridge and Harvard and
1:03:46
tie-ups with Cambridge and Harvard and uh Microsoft Google and literally
1:03:49
uh Microsoft Google and literally
1:03:49
uh Microsoft Google and literally something different we are trying to do
1:03:51
something different we are trying to do
1:03:51
something different we are trying to do and I'm literally thankful to Mah sir
1:03:54
and I'm literally thankful to Mah sir
1:03:54
and I'm literally thankful to Mah sir because because of the initiative of sir
1:03:56
because because of the initiative of sir
1:03:56
because because of the initiative of sir I think and Simon and Atul sir I think
1:04:00
I think and Simon and Atul sir I think
1:04:00
I think and Simon and Atul sir I think for last two years we we are in touch
1:04:02
for last two years we we are in touch
1:04:02
for last two years we we are in touch and we have been doing uh good things in
1:04:04
and we have been doing uh good things in
1:04:04
and we have been doing uh good things in that and uh we had a session of in our
1:04:08
that and uh we had a session of in our
1:04:08
that and uh we had a session of in our college through online media we want
1:04:10
college through online media we want
1:04:10
college through online media we want that offline should be also there so we
1:04:13
that offline should be also there so we
1:04:13
that offline should be also there so we need some I mean guidance from sir so
1:04:15
need some I mean guidance from sir so
1:04:15
need some I mean guidance from sir so that we can have some collaboration and
1:04:18
that we can have some collaboration and
1:04:18
that we can have some collaboration and uh that can be I mean benefited for our
1:04:21
uh that can be I mean benefited for our
1:04:21
uh that can be I mean benefited for our institution and whatever sir has said
1:04:23
institution and whatever sir has said
1:04:23
institution and whatever sir has said the knowledge us people are having that
1:04:26
the knowledge us people are having that
1:04:26
the knowledge us people are having that thing can come to us by through by the
1:04:28
thing can come to us by through by the
1:04:28
thing can come to us by through by the sir so that is what we are thinking and
1:04:31
sir so that is what we are thinking and
1:04:31
sir so that is what we are thinking and uh I'm literally uh I mean happy and uh
1:04:34
uh I'm literally uh I mean happy and uh
1:04:34
uh I'm literally uh I mean happy and uh honored that this type of events are
1:04:37
honored that this type of events are
1:04:37
honored that this type of events are being organized by my sir and we are I
1:04:39
being organized by my sir and we are I
1:04:39
being organized by my sir and we are I mean I'm very pleased to see that that
1:04:42
mean I'm very pleased to see that that
1:04:42
mean I'm very pleased to see that that teachers are being I mean appreciated
1:04:44
teachers are being I mean appreciated
1:04:44
teachers are being I mean appreciated and they are being given a platform
1:04:46
and they are being given a platform
1:04:46
and they are being given a platform where they are coming and they are able
1:04:48
where they are coming and they are able
1:04:48
where they are coming and they are able to speak up to the industrialist and the
1:04:51
to speak up to the industrialist and the
1:04:51
to speak up to the industrialist and the software peoples. So this is what we
1:04:54
software peoples. So this is what we
1:04:54
software peoples. So this is what we think like and this is I literally I I
1:04:57
think like and this is I literally I I
1:04:57
think like and this is I literally I I hats off to Mahis and Simon because we
1:05:00
hats off to Mahis and Simon because we
1:05:00
hats off to Mahis and Simon because we are being in touch of these people and
1:05:02
are being in touch of these people and
1:05:02
are being in touch of these people and literally they are doing awesome
1:05:04
literally they are doing awesome
1:05:04
literally they are doing awesome especially hack India. I mean last two
1:05:07
especially hack India. I mean last two
1:05:07
especially hack India. I mean last two years it was a just a name hack India
1:05:09
years it was a just a name hack India
1:05:09
years it was a just a name hack India but nowadays people all over India know
1:05:12
but nowadays people all over India know
1:05:12
but nowadays people all over India know that and so much a good community is all
1:05:15
that and so much a good community is all
1:05:15
that and so much a good community is all there on it is all there in LinkedIn and
1:05:17
there on it is all there in LinkedIn and
1:05:18
there on it is all there in LinkedIn and people are knowing that so it's it has
1:05:20
people are knowing that so it's it has
1:05:20
people are knowing that so it's it has just like just we had smart India
1:05:22
just like just we had smart India
1:05:22
just like just we had smart India hackathon similarly we are having a I
1:05:25
hackathon similarly we are having a I
1:05:25
hackathon similarly we are having a I mean equivalent some like a hackathon
1:05:27
mean equivalent some like a hackathon
1:05:27
mean equivalent some like a hackathon which is near to in all over India so I
1:05:30
which is near to in all over India so I
1:05:30
which is near to in all over India so I am I'm literally happy to see that so
1:05:33
am I'm literally happy to see that so
1:05:33
am I'm literally happy to see that so thank you thank you so much for giving
1:05:34
thank you thank you so much for giving
1:05:34
thank you thank you so much for giving this opportunity
1:05:38
Well, thank you so much sir. You know
1:05:39
Well, thank you so much sir. You know
1:05:39
Well, thank you so much sir. You know it's always lovely to connect with you
1:05:41
it's always lovely to connect with you
1:05:41
it's always lovely to connect with you and thank you so much for sharing your B
1:05:43
and thank you so much for sharing your B
1:05:43
and thank you so much for sharing your B of wisdom. Uh we'll now move to our uh
1:05:45
of wisdom. Uh we'll now move to our uh
1:05:45
of wisdom. Uh we'll now move to our uh next uh uh professor. He is Dr. Ashish
1:05:48
next uh uh professor. He is Dr. Ashish
1:05:48
next uh uh professor. He is Dr. Ashish Bhnager. He's been a professor at IMS UC
1:05:51
Bhnager. He's been a professor at IMS UC
1:05:51
Bhnager. He's been a professor at IMS UC campus and he has been associated with
1:05:53
campus and he has been associated with
1:05:53
campus and he has been associated with C# corner for over 11 years and he's
1:05:55
C# corner for over 11 years and he's
1:05:55
C# corner for over 11 years and he's also been an author and C# corner MVP.
1:06:00
also been an author and C# corner MVP.
1:06:00
also been an author and C# corner MVP. Uh good evening everyone. uh on this
1:06:03
Uh good evening everyone. uh on this
1:06:03
Uh good evening everyone. uh on this special occasion of teacher day. I feel
1:06:06
special occasion of teacher day. I feel
1:06:06
special occasion of teacher day. I feel truly humbled and honored to be there.
1:06:09
truly humbled and honored to be there.
1:06:09
truly humbled and honored to be there. Teacher day is a celebration of
1:06:11
Teacher day is a celebration of
1:06:11
Teacher day is a celebration of knowledge, guidance and inspirations and
1:06:14
knowledge, guidance and inspirations and
1:06:14
knowledge, guidance and inspirations and I'm grateful to be recognized on such a
1:06:16
I'm grateful to be recognized on such a
1:06:16
I'm grateful to be recognized on such a meaningful day. Yeah. Hello. I am
1:06:19
meaningful day. Yeah. Hello. I am
1:06:19
meaningful day. Yeah. Hello. I am professor Ashishnav currently serving as
1:06:21
professor Ashishnav currently serving as
1:06:21
professor Ashishnav currently serving as a professor at IMS Graasibad University
1:06:24
a professor at IMS Graasibad University
1:06:24
a professor at IMS Graasibad University courses campus. My association with C#ar
1:06:27
courses campus. My association with C#ar
1:06:27
courses campus. My association with C#ar Corner began in 2015 and for the past 10
1:06:31
Corner began in 2015 and for the past 10
1:06:31
Corner began in 2015 and for the past 10 years it has been an incredible journey
1:06:33
years it has been an incredible journey
1:06:33
years it has been an incredible journey of learning sharing and growing with
1:06:36
of learning sharing and growing with
1:06:36
of learning sharing and growing with this amazing community. I am also proud
1:06:39
this amazing community. I am also proud
1:06:39
this amazing community. I am also proud to share that I have received a C#
1:06:41
to share that I have received a C#
1:06:41
to share that I have received a C# corner MVP award for five consecutive
1:06:44
corner MVP award for five consecutive
1:06:44
corner MVP award for five consecutive years which has been a great source of
1:06:46
years which has been a great source of
1:06:46
years which has been a great source of motivation for me to keep contributing.
1:06:49
motivation for me to keep contributing.
1:06:49
motivation for me to keep contributing. I would like to extend my heartfelt
1:06:52
I would like to extend my heartfelt
1:06:52
I would like to extend my heartfelt gratitude to Shri Mahesh Chanser, Mr.
1:06:55
gratitude to Shri Mahesh Chanser, Mr.
1:06:55
gratitude to Shri Mahesh Chanser, Mr. Atul Gupta Gi, Mr. Rud Gupta GI and the
1:06:58
Atul Gupta Gi, Mr. Rud Gupta GI and the
1:06:58
Atul Gupta Gi, Mr. Rud Gupta GI and the entire CRE team for giving me this honor
1:07:02
entire CRE team for giving me this honor
1:07:02
entire CRE team for giving me this honor and acknowledging my contribution on
1:07:04
and acknowledging my contribution on
1:07:04
and acknowledging my contribution on this teacher day. Your efforts in
1:07:07
this teacher day. Your efforts in
1:07:07
this teacher day. Your efforts in building and empowering this global
1:07:09
building and empowering this global
1:07:09
building and empowering this global developer community are truly
1:07:11
developer community are truly
1:07:11
developer community are truly commendable. Thank you once again for
1:07:13
commendable. Thank you once again for
1:07:13
commendable. Thank you once again for this recognitions. Wishing Shisha corner
1:07:15
this recognitions. Wishing Shisha corner
1:07:16
this recognitions. Wishing Shisha corner continued success and growth in the
1:07:18
continued success and growth in the
1:07:18
continued success and growth in the years ahead. Thank you. Thank you so
1:07:20
years ahead. Thank you. Thank you so
1:07:20
years ahead. Thank you. Thank you so much.
1:07:21
much.
1:07:21
much. Well, thank you so much sir. Uh thank
1:07:22
Well, thank you so much sir. Uh thank
1:07:22
Well, thank you so much sir. Uh thank you so much for being a part of this
1:07:24
you so much for being a part of this
1:07:24
you so much for being a part of this community for so long. Uh next next is
1:07:26
community for so long. Uh next next is
1:07:26
community for so long. Uh next next is no new professor Dr. Aeshkumar Gupta. He
1:07:30
no new professor Dr. Aeshkumar Gupta. He
1:07:30
no new professor Dr. Aeshkumar Gupta. He is uh a professor at LM University with
1:07:34
is uh a professor at LM University with
1:07:34
is uh a professor at LM University with and he has been associated with C#
1:07:36
and he has been associated with C#
1:07:36
and he has been associated with C# corner for about 11 years and he has
1:07:38
corner for about 11 years and he has
1:07:38
corner for about 11 years and he has also been hosting a lot of C# corner
1:07:40
also been hosting a lot of C# corner
1:07:40
also been hosting a lot of C# corner conferences at his campus.
1:07:43
conferences at his campus.
1:07:43
conferences at his campus. Thank you Simmon for already I spoken a
1:07:46
Thank you Simmon for already I spoken a
1:07:46
Thank you Simmon for already I spoken a much so without taking much more time I
1:07:48
much so without taking much more time I
1:07:48
much so without taking much more time I would say winners don't do different
1:07:50
would say winners don't do different
1:07:50
would say winners don't do different things they do things differently
1:07:55
and this is what has been doing
1:07:57
and this is what has been doing
1:07:57
and this is what has been doing contributing significantly since a long
1:08:00
contributing significantly since a long
1:08:00
contributing significantly since a long time now and I would simply conclude
1:08:02
time now and I would simply conclude
1:08:02
time now and I would simply conclude with the two lines of a poem which I
1:08:04
with the two lines of a poem which I
1:08:04
with the two lines of a poem which I always love to be literary in my
1:08:06
always love to be literary in my
1:08:06
always love to be literary in my approach
1:08:11
[Music]
1:08:23
Thank you very much for creating
1:08:25
Thank you very much for creating
1:08:25
Thank you very much for creating outstanding the corporate academy of
1:08:27
outstanding the corporate academy of
1:08:28
outstanding the corporate academy of proity and serving the entire society
1:08:30
proity and serving the entire society
1:08:30
proity and serving the entire society such a lavish manner. I'm truly proud of
1:08:32
such a lavish manner. I'm truly proud of
1:08:32
such a lavish manner. I'm truly proud of you all. I feel delighted while being
1:08:34
you all. I feel delighted while being
1:08:34
you all. I feel delighted while being connected with Sarah Corner and Stefan
1:08:37
connected with Sarah Corner and Stefan
1:08:37
connected with Sarah Corner and Stefan Salmon Atul Gupti Rohit Gupti and of
1:08:39
Salmon Atul Gupti Rohit Gupti and of
1:08:40
Salmon Atul Gupti Rohit Gupti and of course the pioneer. Thank you very much
1:08:42
course the pioneer. Thank you very much
1:08:42
course the pioneer. Thank you very much the founder president CEO Shay Chanji
1:08:46
the founder president CEO Shay Chanji
1:08:46
the founder president CEO Shay Chanji for taking me into a team at a you know
1:08:49
for taking me into a team at a you know
1:08:49
for taking me into a team at a you know collaborating manner. Thank you. Thank
1:08:51
collaborating manner. Thank you. Thank
1:08:51
collaborating manner. Thank you. Thank you so much.
1:08:51
you so much.
1:08:51
you so much. Well, thank you so much. It will be
1:08:53
Well, thank you so much. It will be
1:08:53
Well, thank you so much. It will be always very hard for me to match up your
1:08:54
always very hard for me to match up your
1:08:54
always very hard for me to match up your energy. All right. So, thank you so much
1:08:56
energy. All right. So, thank you so much
1:08:56
energy. All right. So, thank you so much for that. We'll now move uh to Dr. Deepa
1:09:00
for that. We'll now move uh to Dr. Deepa
1:09:00
for that. We'll now move uh to Dr. Deepa Gupta who is a professor and dean at GL
1:09:03
Gupta who is a professor and dean at GL
1:09:03
Gupta who is a professor and dean at GL Paj Institute of Management and you know
1:09:05
Paj Institute of Management and you know
1:09:05
Paj Institute of Management and you know we have been working very closely with
1:09:07
we have been working very closely with
1:09:07
we have been working very closely with her for over six seven years now. Very
1:09:10
her for over six seven years now. Very
1:09:10
her for over six seven years now. Very warm good evening to all the eminent
1:09:12
warm good evening to all the eminent
1:09:12
warm good evening to all the eminent personalities present in this beautiful
1:09:14
personalities present in this beautiful
1:09:14
personalities present in this beautiful teachers day celebration which is known
1:09:15
teachers day celebration which is known
1:09:16
teachers day celebration which is known as Guru Wandan event organized by C
1:09:19
as Guru Wandan event organized by C
1:09:19
as Guru Wandan event organized by C community and first and foremost I would
1:09:22
community and first and foremost I would
1:09:22
community and first and foremost I would like to extend my deepest deepest
1:09:24
like to extend my deepest deepest
1:09:24
like to extend my deepest deepest gratitude and thanks to uh
1:09:27
gratitude and thanks to uh
1:09:27
gratitude and thanks to uh Mah Chan uh for his vision in taking
1:09:30
Mah Chan uh for his vision in taking
1:09:30
Mah Chan uh for his vision in taking this initiative forward and your efforts
1:09:33
this initiative forward and your efforts
1:09:33
this initiative forward and your efforts are truly appreciable I would say and
1:09:35
are truly appreciable I would say and
1:09:35
are truly appreciable I would say and this session which you have taken is
1:09:37
this session which you have taken is
1:09:37
this session which you have taken is really insightful. I have come to know
1:09:40
really insightful. I have come to know
1:09:40
really insightful. I have come to know about new two concept like you know AGI
1:09:42
about new two concept like you know AGI
1:09:42
about new two concept like you know AGI and ASI. Thank you so much Maya for uh
1:09:45
and ASI. Thank you so much Maya for uh
1:09:46
and ASI. Thank you so much Maya for uh updating all of us with these AI view
1:09:48
updating all of us with these AI view
1:09:48
updating all of us with these AI view concepts. I am Dr. Deepa Gupta. I am
1:09:51
concepts. I am Dr. Deepa Gupta. I am
1:09:51
concepts. I am Dr. Deepa Gupta. I am currently associated with GL Bajad
1:09:52
currently associated with GL Bajad
1:09:52
currently associated with GL Bajad Institute of Management H in the
1:09:55
Institute of Management H in the
1:09:55
Institute of Management H in the capacity of dean and professor and um as
1:09:58
capacity of dean and professor and um as
1:09:58
capacity of dean and professor and um as the saying goes by that given by the
1:10:01
the saying goes by that given by the
1:10:01
the saying goes by that given by the Gautam Budra in India
1:10:06
be your own light but it is the guru it
1:10:09
be your own light but it is the guru it
1:10:09
be your own light but it is the guru it is the teacher who ignites the spark in
1:10:12
is the teacher who ignites the spark in
1:10:12
is the teacher who ignites the spark in all of us so that we may shine on our
1:10:14
all of us so that we may shine on our
1:10:14
all of us so that we may shine on our own. I hope that all the faculty
1:10:16
own. I hope that all the faculty
1:10:16
own. I hope that all the faculty members, all the teachers who are
1:10:19
members, all the teachers who are
1:10:19
members, all the teachers who are present in this celebration are going to
1:10:21
present in this celebration are going to
1:10:21
present in this celebration are going to become that kind of lamp who will ignite
1:10:24
become that kind of lamp who will ignite
1:10:24
become that kind of lamp who will ignite the uh light among their students and as
1:10:28
the uh light among their students and as
1:10:28
the uh light among their students and as um you know the prime minister of our
1:10:31
um you know the prime minister of our
1:10:31
um you know the prime minister of our country he's focusing a lot on Vix Bat
1:10:33
country he's focusing a lot on Vix Bat
1:10:33
country he's focusing a lot on Vix Bat by 2047
1:10:36
by 2047
1:10:36
by 2047 mission and that mission can be
1:10:38
mission and that mission can be
1:10:38
mission and that mission can be fulfilled and based on the our ability
1:10:41
fulfilled and based on the our ability
1:10:41
fulfilled and based on the our ability whether we are able to unlock the uh
1:10:44
whether we are able to unlock the uh
1:10:44
whether we are able to unlock the uh full potential of our uh you know this
1:10:47
full potential of our uh you know this
1:10:47
full potential of our uh you know this dividend
1:10:50
community like you know almost in India
1:10:52
community like you know almost in India
1:10:52
community like you know almost in India 65% of population is of youth so that is
1:10:56
65% of population is of youth so that is
1:10:56
65% of population is of youth so that is why India is known as the youth country
1:10:58
why India is known as the youth country
1:10:58
why India is known as the youth country and the way Mahar is updating and
1:11:01
and the way Mahar is updating and
1:11:01
and the way Mahar is updating and organizing the event for the youth it is
1:11:04
organizing the event for the youth it is
1:11:04
organizing the event for the youth it is really appreciable I would also like to
1:11:06
really appreciable I would also like to
1:11:06
really appreciable I would also like to thank um Atul GI for taking this
1:11:10
thank um Atul GI for taking this
1:11:10
thank um Atul GI for taking this initiative so well and I hope that with
1:11:13
initiative so well and I hope that with
1:11:13
initiative so well and I hope that with the help of sound academic system and uh
1:11:18
the help of sound academic system and uh
1:11:18
the help of sound academic system and uh robust skill development and the
1:11:20
robust skill development and the
1:11:20
robust skill development and the seamless academia and industry
1:11:22
seamless academia and industry
1:11:22
seamless academia and industry collaboration we can achieve that target
1:11:24
collaboration we can achieve that target
1:11:24
collaboration we can achieve that target very soon and we need support of such
1:11:27
very soon and we need support of such
1:11:27
very soon and we need support of such personalities like um Mahishans thank
1:11:30
personalities like um Mahishans thank
1:11:30
personalities like um Mahishans thank you Mahan sir and the entire team of
1:11:33
you Mahan sir and the entire team of
1:11:33
you Mahan sir and the entire team of shisha
1:11:34
shisha
1:11:34
shisha for taking this initiative and
1:11:36
for taking this initiative and
1:11:36
for taking this initiative and felicitating the teachers who are
1:11:37
felicitating the teachers who are
1:11:38
felicitating the teachers who are contributing a little bit in this
1:11:39
contributing a little bit in this
1:11:40
contributing a little bit in this mission thank you so very much once
1:11:41
mission thank you so very much once
1:11:41
mission thank you so very much once again
1:11:42
again
1:11:42
again well thank you so much ma'am unit has
1:11:44
well thank you so much ma'am unit has
1:11:44
well thank you so much ma'am unit has been it's been so nice to we have been
1:11:45
been it's been so nice to we have been
1:11:46
been it's been so nice to we have been working with you for so long. So thank
1:11:47
working with you for so long. So thank
1:11:47
working with you for so long. So thank you so much. The next we have is uh
1:11:49
you so much. The next we have is uh
1:11:50
you so much. The next we have is uh professor Dr. Dendra Kumar. He is a dean
1:11:52
professor Dr. Dendra Kumar. He is a dean
1:11:52
professor Dr. Dendra Kumar. He is a dean admission and HUDMC at ABS Engineering
1:11:55
admission and HUDMC at ABS Engineering
1:11:55
admission and HUDMC at ABS Engineering College. And you know as far as I recall
1:11:58
College. And you know as far as I recall
1:11:58
College. And you know as far as I recall you know we have been working with him
1:11:59
you know we have been working with him
1:11:59
you know we have been working with him almost like a decade now.
1:12:05
Thank you
1:12:08
Thank you
1:12:08
Thank you and first of all wishing you all a very
1:12:10
and first of all wishing you all a very
1:12:10
and first of all wishing you all a very happy teacher day. I Dr. Dindumar
1:12:13
happy teacher day. I Dr. Dindumar
1:12:13
happy teacher day. I Dr. Dindumar working serving as a professor dean
1:12:15
working serving as a professor dean
1:12:15
working serving as a professor dean admission head of the MCA at ABEES
1:12:17
admission head of the MCA at ABEES
1:12:17
admission head of the MCA at ABEES engineering college Gaz. It gives me an
1:12:20
engineering college Gaz. It gives me an
1:12:20
engineering college Gaz. It gives me an immense pride to say that ABEES recently
1:12:22
immense pride to say that ABEES recently
1:12:22
immense pride to say that ABEES recently achieved a significant milestone by
1:12:24
achieved a significant milestone by
1:12:24
achieved a significant milestone by attaining autonomous status. A step
1:12:27
attaining autonomous status. A step
1:12:27
attaining autonomous status. A step forward in our journey towards academic
1:12:29
forward in our journey towards academic
1:12:29
forward in our journey towards academic excellence and the innovation. On this
1:12:31
excellence and the innovation. On this
1:12:31
excellence and the innovation. On this special occasion, I would like to extend
1:12:33
special occasion, I would like to extend
1:12:33
special occasion, I would like to extend my heartfelt thanks and gratitude to my
1:12:36
my heartfelt thanks and gratitude to my
1:12:36
my heartfelt thanks and gratitude to my saun sir, Rohi sir and special
1:12:41
saun sir, Rohi sir and special
1:12:41
saun sir, Rohi sir and special sir because he is my hero in the field
1:12:44
sir because he is my hero in the field
1:12:44
sir because he is my hero in the field of technical field technically basically
1:12:47
of technical field technically basically
1:12:47
of technical field technically basically I know the from the galva to till now
1:12:53
they valuable contribution
1:12:57
they valuable contribution
1:12:57
they valuable contribution valuable contribution in the field of
1:12:58
valuable contribution in the field of
1:12:58
valuable contribution in the field of technology not only in the advanc in
1:13:01
technology not only in the advanc in
1:13:01
technology not only in the advanc in technical technical knowledge but also
1:13:02
technical technical knowledge but also
1:13:02
technical technical knowledge but also their impactful social activities he is
1:13:06
their impactful social activities he is
1:13:06
their impactful social activities he is always available in social media anyone
1:13:08
always available in social media anyone
1:13:08
always available in social media anyone can ask that question anytime not only
1:13:10
can ask that question anytime not only
1:13:10
can ask that question anytime not only in the achieving technology he's also
1:13:13
in the achieving technology he's also
1:13:13
in the achieving technology he's also available in the social media and
1:13:14
available in the social media and
1:13:14
available in the social media and YouTuber and other anything else suppose
1:13:16
YouTuber and other anything else suppose
1:13:16
YouTuber and other anything else suppose the student can ask easily because many
1:13:19
the student can ask easily because many
1:13:19
the student can ask easily because many more student know how the Stefan very
1:13:21
more student know how the Stefan very
1:13:21
more student know how the Stefan very well they can ask the question any time
1:13:23
well they can ask the question any time
1:13:23
well they can ask the question any time and Stephan surely replied that their
1:13:27
and Stephan surely replied that their
1:13:27
and Stephan surely replied that their dedication has greatfully the field of
1:13:29
dedication has greatfully the field of
1:13:29
dedication has greatfully the field of technology particularly through effort
1:13:31
technology particularly through effort
1:13:31
technology particularly through effort under the umbrella ces corner
1:13:33
under the umbrella ces corner
1:13:33
under the umbrella ces corner initiative.
1:13:35
initiative.
1:13:35
initiative. You all working as a social activities
1:13:38
You all working as a social activities
1:13:38
You all working as a social activities initiative in the field of technology
1:13:40
initiative in the field of technology
1:13:40
initiative in the field of technology and it is my really proud moment you are
1:13:42
and it is my really proud moment you are
1:13:42
and it is my really proud moment you are giving the that kind of award to me and
1:13:44
giving the that kind of award to me and
1:13:44
giving the that kind of award to me and thank you. Thank you so much. Thank you
1:13:47
thank you. Thank you so much. Thank you
1:13:47
thank you. Thank you so much. Thank you my sir.
1:13:48
my sir.
1:13:48
my sir. Well thank you uh thank you professor
1:13:50
Well thank you uh thank you professor
1:13:50
Well thank you uh thank you professor Dr. Deendra Kumar. Thank you so much for
1:13:51
Dr. Deendra Kumar. Thank you so much for
1:13:51
Dr. Deendra Kumar. Thank you so much for your time. I will move to the next and
1:13:53
your time. I will move to the next and
1:13:54
your time. I will move to the next and that is Dr. Gi Sharma. She's a group
1:13:56
that is Dr. Gi Sharma. She's a group
1:13:56
that is Dr. Gi Sharma. She's a group director and professor at IPM group of
1:13:59
director and professor at IPM group of
1:13:59
director and professor at IPM group of institutions and we have been working
1:14:00
institutions and we have been working
1:14:00
institutions and we have been working with her for almost five years now.
1:14:13
Well, I don't think so she's here with
1:14:15
Well, I don't think so she's here with
1:14:15
Well, I don't think so she's here with us now. So, we'll move to the next and
1:14:17
us now. So, we'll move to the next and
1:14:17
us now. So, we'll move to the next and that is Dr. Love Kumar. He's an
1:14:19
that is Dr. Love Kumar. He's an
1:14:19
that is Dr. Love Kumar. He's an assistant professor at Manglathan
1:14:21
assistant professor at Manglathan
1:14:21
assistant professor at Manglathan University and he has been an acting
1:14:24
University and he has been an acting
1:14:24
University and he has been an acting contributor at C# corner platform for
1:14:26
contributor at C# corner platform for
1:14:26
contributor at C# corner platform for more than a decade.
1:14:30
A very good evening to everyone. I'm Dr.
1:14:32
A very good evening to everyone. I'm Dr.
1:14:32
A very good evening to everyone. I'm Dr. La Kumar, professor of department of
1:14:34
La Kumar, professor of department of
1:14:34
La Kumar, professor of department of computer engineering and application.
1:14:36
computer engineering and application.
1:14:36
computer engineering and application. And yes, I'd like to say wish everyone's
1:14:40
And yes, I'd like to say wish everyone's
1:14:40
And yes, I'd like to say wish everyone's to the happy teachers day to everyone.
1:14:43
to the happy teachers day to everyone.
1:14:43
to the happy teachers day to everyone. And yes, I'd like to thank uh Mr. Tul
1:14:46
And yes, I'd like to thank uh Mr. Tul
1:14:46
And yes, I'd like to thank uh Mr. Tul Gupta sir which is indirectly goes to
1:14:48
Gupta sir which is indirectly goes to
1:14:48
Gupta sir which is indirectly goes to Maest because without his starting Tulsa
1:14:51
Maest because without his starting Tulsa
1:14:51
Maest because without his starting Tulsa will not be there and that we will not
1:14:53
will not be there and that we will not
1:14:53
will not be there and that we will not be in the connection and yes Steven I'd
1:14:55
be in the connection and yes Steven I'd
1:14:55
be in the connection and yes Steven I'd like to thank you also you have visited
1:14:58
like to thank you also you have visited
1:14:58
like to thank you also you have visited our university it was a wonderful
1:14:59
our university it was a wonderful
1:15:00
our university it was a wonderful lecture and besides this I'd like to
1:15:03
lecture and besides this I'd like to
1:15:03
lecture and besides this I'd like to request may sir that we would like to
1:15:05
request may sir that we would like to
1:15:05
request may sir that we would like to have you sir in our campus or maybe
1:15:08
have you sir in our campus or maybe
1:15:08
have you sir in our campus or maybe connected with the online sessions and
1:15:10
connected with the online sessions and
1:15:10
connected with the online sessions and atul sir with the chat you have provided
1:15:13
atul sir with the chat you have provided
1:15:13
atul sir with the chat you have provided us a lot of things and lot of speakers a
1:15:15
us a lot of things and lot of speakers a
1:15:15
us a lot of things and lot of speakers a good speakers and the very good speakers
1:15:17
good speakers and the very good speakers
1:15:17
good speakers and the very good speakers to motivate our students and they have
1:15:19
to motivate our students and they have
1:15:19
to motivate our students and they have motivated and then at the last I like to
1:15:22
motivated and then at the last I like to
1:15:22
motivated and then at the last I like to request you to please please please
1:15:27
request you to please please please
1:15:27
request you to please please please request accept our request to be
1:15:29
request accept our request to be
1:15:29
request accept our request to be reaching over there and I'm just trying
1:15:31
reaching over there and I'm just trying
1:15:31
reaching over there and I'm just trying to fetch you or trying to connect you
1:15:34
to fetch you or trying to connect you
1:15:34
to fetch you or trying to connect you since last three months or
1:15:40
thank you thank you and thank you
1:15:42
thank you thank you and thank you
1:15:42
thank you thank you and thank you everyone
1:15:43
everyone
1:15:43
everyone well thank you so much Dr. Lakumar you
1:15:45
well thank you so much Dr. Lakumar you
1:15:45
well thank you so much Dr. Lakumar you know we always there you know and we'll
1:15:47
know we always there you know and we'll
1:15:47
know we always there you know and we'll find more ways to connect with you all
1:15:48
find more ways to connect with you all
1:15:48
find more ways to connect with you all we'll now move to someone very special
1:15:51
we'll now move to someone very special
1:15:51
we'll now move to someone very special you know she is professor Dr. Dr. Madu
1:15:52
you know she is professor Dr. Dr. Madu
1:15:52
you know she is professor Dr. Dr. Madu Sharma Gore uh she's the head of MCA at
1:15:55
Sharma Gore uh she's the head of MCA at
1:15:55
Sharma Gore uh she's the head of MCA at Gilbaj Institute of Technology and we
1:15:58
Gilbaj Institute of Technology and we
1:15:58
Gilbaj Institute of Technology and we have been working with her for about 11
1:15:59
have been working with her for about 11
1:16:00
have been working with her for about 11 years now and and you know and the very
1:16:02
years now and and you know and the very
1:16:02
years now and and you know and the very first initiative of C# corner in the
1:16:05
first initiative of C# corner in the
1:16:05
first initiative of C# corner in the education ecosystem with colleges and
1:16:07
education ecosystem with colleges and
1:16:07
education ecosystem with colleges and university we did with her. So thank you
1:16:09
university we did with her. So thank you
1:16:09
university we did with her. So thank you so much Maduma.
1:16:11
so much Maduma.
1:16:11
so much Maduma. Thank you Simon and thank you to entire
1:16:14
Thank you Simon and thank you to entire
1:16:14
Thank you Simon and thank you to entire C# corner team that we are privileged to
1:16:18
C# corner team that we are privileged to
1:16:18
C# corner team that we are privileged to have with us like a backbone because uh
1:16:22
have with us like a backbone because uh
1:16:22
have with us like a backbone because uh the one challenge we all academicians
1:16:24
the one challenge we all academicians
1:16:24
the one challenge we all academicians are facing the gap between industry and
1:16:27
are facing the gap between industry and
1:16:27
are facing the gap between industry and academia and uh Corner team is
1:16:30
academia and uh Corner team is
1:16:30
academia and uh Corner team is beautifully putting all efforts to
1:16:33
beautifully putting all efforts to
1:16:33
beautifully putting all efforts to reduce this gap. So I give my heartfelt
1:16:37
reduce this gap. So I give my heartfelt
1:16:37
reduce this gap. So I give my heartfelt gratitude to each member of Corner for
1:16:40
gratitude to each member of Corner for
1:16:40
gratitude to each member of Corner for putting this efforts and bring trying to
1:16:43
putting this efforts and bring trying to
1:16:43
putting this efforts and bring trying to like bringing us on the platform where
1:16:46
like bringing us on the platform where
1:16:46
like bringing us on the platform where we can feel okay we are also going for
1:16:49
we can feel okay we are also going for
1:16:49
we can feel okay we are also going for the new technology tech stack and all.
1:16:52
the new technology tech stack and all.
1:16:52
the new technology tech stack and all. every time I got good opportunities and
1:16:55
every time I got good opportunities and
1:16:55
every time I got good opportunities and uh on new technologies we were talking
1:16:57
uh on new technologies we were talking
1:16:58
uh on new technologies we were talking discussing anduling some activities and
1:17:00
discussing anduling some activities and
1:17:00
discussing anduling some activities and looking for some more in uh future also
1:17:04
looking for some more in uh future also
1:17:04
looking for some more in uh future also and uh I appreciate uh mah sir your
1:17:09
and uh I appreciate uh mah sir your
1:17:09
and uh I appreciate uh mah sir your wordings in this uh today's session that
1:17:12
wordings in this uh today's session that
1:17:12
wordings in this uh today's session that chat GPT is what doing is doing based on
1:17:15
chat GPT is what doing is doing based on
1:17:15
chat GPT is what doing is doing based on the data so how we train them it will
1:17:18
the data so how we train them it will
1:17:18
the data so how we train them it will respond on them sir I'd request whenever
1:17:21
respond on them sir I'd request whenever
1:17:21
respond on them sir I'd request whenever you are next time visit visiting the
1:17:22
you are next time visit visiting the
1:17:22
you are next time visit visiting the India just have one session with the
1:17:25
India just have one session with the
1:17:25
India just have one session with the students because they will uh strongly
1:17:29
students because they will uh strongly
1:17:29
students because they will uh strongly believe on your words because uh student
1:17:32
believe on your words because uh student
1:17:32
believe on your words because uh student community more moving to the this AI and
1:17:34
community more moving to the this AI and
1:17:34
community more moving to the this AI and CH GPT but from our wordings they will
1:17:38
CH GPT but from our wordings they will
1:17:38
CH GPT but from our wordings they will not well convinced but the person like
1:17:40
not well convinced but the person like
1:17:40
not well convinced but the person like you will visit and give the true picture
1:17:44
you will visit and give the true picture
1:17:44
you will visit and give the true picture definitely they will convinced so this
1:17:46
definitely they will convinced so this
1:17:46
definitely they will convinced so this is my humble request sir in next your
1:17:48
is my humble request sir in next your
1:17:48
is my humble request sir in next your visit just keep uh uh some hours for us
1:17:52
visit just keep uh uh some hours for us
1:17:52
visit just keep uh uh some hours for us also and you visit earlier also and that
1:17:55
also and you visit earlier also and that
1:17:55
also and you visit earlier also and that session was even appreciated from our
1:17:58
session was even appreciated from our
1:17:58
session was even appreciated from our management also. So I'm looking for such
1:18:00
management also. So I'm looking for such
1:18:00
management also. So I'm looking for such session in future. Thank you so much
1:18:03
session in future. Thank you so much
1:18:03
session in future. Thank you so much sir. Thank you and Atul sir uh like I
1:18:06
sir. Thank you and Atul sir uh like I
1:18:06
sir. Thank you and Atul sir uh like I don't have words to express gratitude
1:18:10
don't have words to express gratitude
1:18:10
don't have words to express gratitude for you for your humbleness. Uh I'm
1:18:13
for you for your humbleness. Uh I'm
1:18:13
for you for your humbleness. Uh I'm looking forward for new new technologies
1:18:15
looking forward for new new technologies
1:18:15
looking forward for new new technologies and new new engagements for our
1:18:17
and new new engagements for our
1:18:17
and new new engagements for our students. Thank you sir. Thank you Rohit
1:18:19
students. Thank you sir. Thank you Rohit
1:18:19
students. Thank you sir. Thank you Rohit sir. Thank you all for organizing this
1:18:22
sir. Thank you all for organizing this
1:18:22
sir. Thank you all for organizing this uh wonderful event.
1:18:25
uh wonderful event.
1:18:25
uh wonderful event. Thank you.
1:18:26
Thank you.
1:18:26
Thank you. Thank you so much ma'am. Uh thank you so
1:18:27
Thank you so much ma'am. Uh thank you so
1:18:27
Thank you so much ma'am. Uh thank you so much for your time. Uh the Mr. Mandep
1:18:30
much for your time. Uh the Mr. Mandep
1:18:30
much for your time. Uh the Mr. Mandep and Mr. Naziz they're not available. So
1:18:32
and Mr. Naziz they're not available. So
1:18:32
and Mr. Naziz they're not available. So we'll move to uh Dr. Nitu Singh. She's
1:18:35
we'll move to uh Dr. Nitu Singh. She's
1:18:35
we'll move to uh Dr. Nitu Singh. She's an assistant professor at GP Institute
1:18:37
an assistant professor at GP Institute
1:18:37
an assistant professor at GP Institute of Information Technology and you know
1:18:39
of Information Technology and you know
1:18:39
of Information Technology and you know she has been very closely working with
1:18:41
she has been very closely working with
1:18:41
she has been very closely working with C# for about 9 years now.
1:18:44
C# for about 9 years now.
1:18:44
C# for about 9 years now. So yes a very uh warm welcome to all of
1:18:48
So yes a very uh warm welcome to all of
1:18:48
So yes a very uh warm welcome to all of you. Good evening. I am Nitu Singh
1:18:50
you. Good evening. I am Nitu Singh
1:18:50
you. Good evening. I am Nitu Singh currently serving as an assistant
1:18:52
currently serving as an assistant
1:18:52
currently serving as an assistant professor in department of computer
1:18:54
professor in department of computer
1:18:54
professor in department of computer application at JP Institute of
1:18:56
application at JP Institute of
1:18:56
application at JP Institute of Information Technology NODA. Alongside
1:18:59
Information Technology NODA. Alongside
1:18:59
Information Technology NODA. Alongside my teaching role, I am actively engaged
1:19:01
my teaching role, I am actively engaged
1:19:01
my teaching role, I am actively engaged in research work which allows me to
1:19:03
in research work which allows me to
1:19:03
in research work which allows me to continuously learn, explore and
1:19:06
continuously learn, explore and
1:19:06
continuously learn, explore and contribute to the academic community. So
1:19:08
contribute to the academic community. So
1:19:08
contribute to the academic community. So I feel proud that I belong to the same
1:19:10
I feel proud that I belong to the same
1:19:10
I feel proud that I belong to the same organization from where Mahesh Chanser
1:19:12
organization from where Mahesh Chanser
1:19:12
organization from where Mahesh Chanser has done his um postgrad that is Rani
1:19:15
has done his um postgrad that is Rani
1:19:15
has done his um postgrad that is Rani Dawati Vishwidal Jabulu. So I really I'm
1:19:19
Dawati Vishwidal Jabulu. So I really I'm
1:19:19
Dawati Vishwidal Jabulu. So I really I'm very proud that I belong to the same
1:19:21
very proud that I belong to the same
1:19:21
very proud that I belong to the same organization. At JP we are fortunate to
1:19:24
organization. At JP we are fortunate to
1:19:24
organization. At JP we are fortunate to have a culture that encourages
1:19:26
have a culture that encourages
1:19:26
have a culture that encourages innovation, academic excellence and
1:19:28
innovation, academic excellence and
1:19:28
innovation, academic excellence and holistic development of the students
1:19:30
holistic development of the students
1:19:30
holistic development of the students making it wonderful place for both
1:19:32
making it wonderful place for both
1:19:32
making it wonderful place for both teaching and learning. I would also like
1:19:35
teaching and learning. I would also like
1:19:35
teaching and learning. I would also like to extend my heartfelt thanks to C#
1:19:37
to extend my heartfelt thanks to C#
1:19:37
to extend my heartfelt thanks to C# honor and team for giving me this
1:19:39
honor and team for giving me this
1:19:39
honor and team for giving me this wonderful opportunity to speak on this
1:19:41
wonderful opportunity to speak on this
1:19:41
wonderful opportunity to speak on this occasion of teachers day. As uh I'm
1:19:44
occasion of teachers day. As uh I'm
1:19:44
occasion of teachers day. As uh I'm knowing at sa from long back when I was
1:19:46
knowing at sa from long back when I was
1:19:46
knowing at sa from long back when I was in Noa. So we have any number of events
1:19:48
in Noa. So we have any number of events
1:19:48
in Noa. So we have any number of events at IMS Florida but I don't think so we
1:19:51
at IMS Florida but I don't think so we
1:19:51
at IMS Florida but I don't think so we had any of the events at JIT. So I would
1:19:55
had any of the events at JIT. So I would
1:19:55
had any of the events at JIT. So I would like to collaborate with sir and have
1:19:57
like to collaborate with sir and have
1:19:57
like to collaborate with sir and have few events uh like we have some
1:19:59
few events uh like we have some
1:19:59
few events uh like we have some internship programs uh very near in
1:20:01
internship programs uh very near in
1:20:02
internship programs uh very near in summer this time. So the feedback was
1:20:04
summer this time. So the feedback was
1:20:04
summer this time. So the feedback was very very good from student side as well
1:20:06
very very good from student side as well
1:20:06
very very good from student side as well as from the car corner team. So I would
1:20:09
as from the car corner team. So I would
1:20:09
as from the car corner team. So I would like to extend my uh gratitude heartfelt
1:20:12
like to extend my uh gratitude heartfelt
1:20:12
like to extend my uh gratitude heartfelt thank thankfulness to Mahishans and the
1:20:15
thank thankfulness to Mahishans and the
1:20:15
thank thankfulness to Mahishans and the team. So thank you so much.
1:20:17
team. So thank you so much.
1:20:17
team. So thank you so much. Well thank you so much Num ma'am. We'll
1:20:19
Well thank you so much Num ma'am. We'll
1:20:19
Well thank you so much Num ma'am. We'll definitely you know uh be at your campus
1:20:21
definitely you know uh be at your campus
1:20:21
definitely you know uh be at your campus and try to connect with you in many more
1:20:23
and try to connect with you in many more
1:20:23
and try to connect with you in many more ways. So thank you so much Dr. R
1:20:25
ways. So thank you so much Dr. R
1:20:26
ways. So thank you so much Dr. R Priscilla you know she she was here but
1:20:27
Priscilla you know she she was here but
1:20:27
Priscilla you know she she was here but uh I think she dropped so we'll now move
1:20:30
uh I think she dropped so we'll now move
1:20:30
uh I think she dropped so we'll now move to the next and that is Dr. Ranik Mari.
1:20:33
to the next and that is Dr. Ranik Mari.
1:20:33
to the next and that is Dr. Ranik Mari. She's an associate professor at Chitkar
1:20:35
She's an associate professor at Chitkar
1:20:35
She's an associate professor at Chitkar University Himachal Pradesh and you know
1:20:37
University Himachal Pradesh and you know
1:20:37
University Himachal Pradesh and you know she her university has also hosted
1:20:39
she her university has also hosted
1:20:39
she her university has also hosted hacking at 2024 and 2025 and they've
1:20:42
hacking at 2024 and 2025 and they've
1:20:42
hacking at 2024 and 2025 and they've also won last year. Hello Rani ma'am.
1:20:45
also won last year. Hello Rani ma'am.
1:20:45
also won last year. Hello Rani ma'am. Uh thank you Simon sir. Uh good evening
1:20:48
Uh thank you Simon sir. Uh good evening
1:20:48
Uh thank you Simon sir. Uh good evening and happy teachers day to all respected
1:20:51
and happy teachers day to all respected
1:20:51
and happy teachers day to all respected teachers and mentors. I Dr. Rani Kumari
1:20:54
teachers and mentors. I Dr. Rani Kumari
1:20:54
teachers and mentors. I Dr. Rani Kumari associate professor initar university
1:20:56
associate professor initar university
1:20:56
associate professor initar university Himachal Pradesh. Uh on this special
1:20:59
Himachal Pradesh. Uh on this special
1:21:00
Himachal Pradesh. Uh on this special occasion of teachers day I extend my
1:21:03
occasion of teachers day I extend my
1:21:03
occasion of teachers day I extend my gratitude to shish corner team uh Mahian
1:21:06
gratitude to shish corner team uh Mahian
1:21:06
gratitude to shish corner team uh Mahian sir, Simon sir and atul sir for
1:21:09
sir, Simon sir and atul sir for
1:21:09
sir, Simon sir and atul sir for organizing and honoring me in this
1:21:12
organizing and honoring me in this
1:21:12
organizing and honoring me in this wonderful event. Uh and once again I
1:21:17
wonderful event. Uh and once again I
1:21:17
wonderful event. Uh and once again I want extend my grateful gratitude for
1:21:19
want extend my grateful gratitude for
1:21:19
want extend my grateful gratitude for the opportunities of working with SH
1:21:21
the opportunities of working with SH
1:21:21
the opportunities of working with SH corner in hacking 2024 and 2025.
1:21:26
corner in hacking 2024 and 2025.
1:21:26
corner in hacking 2024 and 2025. uh the guidance, mentorship and platform
1:21:29
uh the guidance, mentorship and platform
1:21:29
uh the guidance, mentorship and platform provided by you all have been extremely
1:21:32
provided by you all have been extremely
1:21:32
provided by you all have been extremely beneficial for our students and
1:21:35
beneficial for our students and
1:21:35
beneficial for our students and definitely I look forward many more such
1:21:37
definitely I look forward many more such
1:21:37
definitely I look forward many more such collaborative events in future with C#.
1:21:40
collaborative events in future with C#.
1:21:40
collaborative events in future with C#. Thank you. Thank you once again for
1:21:42
Thank you. Thank you once again for
1:21:42
Thank you. Thank you once again for inviting me in this event.
1:21:44
inviting me in this event.
1:21:44
inviting me in this event. Thank you so much ma'am. Uh thank you so
1:21:46
Thank you so much ma'am. Uh thank you so
1:21:46
Thank you so much ma'am. Uh thank you so much. I really uh it's always good to
1:21:48
much. I really uh it's always good to
1:21:48
much. I really uh it's always good to you know connect with you. I will now
1:21:50
you know connect with you. I will now
1:21:50
you know connect with you. I will now move uh to the to the next and and he is
1:21:54
move uh to the to the next and and he is
1:21:54
move uh to the to the next and and he is Dr. Reesh Rastoi. He's a professor and
1:21:56
Dr. Reesh Rastoi. He's a professor and
1:21:56
Dr. Reesh Rastoi. He's a professor and head of department of IT at NIET and we
1:22:00
head of department of IT at NIET and we
1:22:00
head of department of IT at NIET and we have been working uh with him for last 8
1:22:02
have been working uh with him for last 8
1:22:02
have been working uh with him for last 8 years. So please
1:22:04
years. So please
1:22:04
years. So please uh good afternoon to all.
1:22:07
uh good afternoon to all.
1:22:07
uh good afternoon to all. Uh I'm Dr. I'm Dr.
1:22:11
Uh I'm Dr. I'm Dr.
1:22:11
Uh I'm Dr. I'm Dr. IT
1:22:13
IT
1:22:13
IT at NIT which is an autonomous institute
1:22:17
at NIT which is an autonomous institute
1:22:17
at NIT which is an autonomous institute also working under uh university. And it
1:22:21
also working under uh university. And it
1:22:21
also working under uh university. And it is a great place to work out here
1:22:23
is a great place to work out here
1:22:23
is a great place to work out here because we are uh providing students
1:22:26
because we are uh providing students
1:22:26
because we are uh providing students with all the latest technical facilities
1:22:29
with all the latest technical facilities
1:22:29
with all the latest technical facilities that uh are available in the market
1:22:31
that uh are available in the market
1:22:31
that uh are available in the market along with the latest trends that are
1:22:33
along with the latest trends that are
1:22:33
along with the latest trends that are being perceived and uh also narrated by
1:22:37
being perceived and uh also narrated by
1:22:37
being perceived and uh also narrated by myself.
1:22:39
myself.
1:22:39
myself. Uh education uh we can say is the most
1:22:41
Uh education uh we can say is the most
1:22:41
Uh education uh we can say is the most powerful tool or weapon and teachers can
1:22:45
powerful tool or weapon and teachers can
1:22:45
powerful tool or weapon and teachers can change life with the right mix of uh
1:22:48
change life with the right mix of uh
1:22:48
change life with the right mix of uh challenges.
1:22:50
challenges.
1:22:50
challenges. uh or you can say chocolate duster but
1:22:52
uh or you can say chocolate duster but
1:22:52
uh or you can say chocolate duster but now we are as in the new information
1:22:57
now we are as in the new information
1:22:57
now we are as in the new information technology era. So we are using uh you
1:23:00
technology era. So we are using uh you
1:23:00
technology era. So we are using uh you can say led mode screens and other
1:23:03
can say led mode screens and other
1:23:03
can say led mode screens and other mechanisms.
1:23:05
mechanisms.
1:23:05
mechanisms. On this day I would like to express my
1:23:07
On this day I would like to express my
1:23:07
On this day I would like to express my gratitude to especially to Mahesa Akula
1:23:11
gratitude to especially to Mahesa Akula
1:23:11
gratitude to especially to Mahesa Akula and the whole C# members who are making
1:23:15
and the whole C# members who are making
1:23:15
and the whole C# members who are making this learning such a beautiful
1:23:18
this learning such a beautiful
1:23:18
this learning such a beautiful experience where we can
1:23:20
experience where we can
1:23:20
experience where we can make students feel comfortable by
1:23:24
make students feel comfortable by
1:23:24
make students feel comfortable by arranging guest lectures, seminars,
1:23:27
arranging guest lectures, seminars,
1:23:27
arranging guest lectures, seminars, industry visits with the help of
1:23:30
industry visits with the help of
1:23:30
industry visits with the help of especially my thanks to Mahisha and my
1:23:34
especially my thanks to Mahisha and my
1:23:34
especially my thanks to Mahisha and my gratitude Akongji for being so humble
1:23:37
gratitude Akongji for being so humble
1:23:37
gratitude Akongji for being so humble and polite and ready to help me always
1:23:41
and polite and ready to help me always
1:23:41
and polite and ready to help me always when and wherever I require.
1:23:44
when and wherever I require.
1:23:44
when and wherever I require. So thank you again uh my sir and
1:23:47
So thank you again uh my sir and
1:23:47
So thank you again uh my sir and hopefully uh we would like to have a
1:23:52
hopefully uh we would like to have a
1:23:52
hopefully uh we would like to have a session of you in coming
1:23:55
session of you in coming
1:23:55
session of you in coming sessions. Uh thank you.
1:24:00
Uh thank you so much sir. We'll now move
1:24:02
Uh thank you so much sir. We'll now move
1:24:02
Uh thank you so much sir. We'll now move to the next uh uh and that is Dr. Vijay
1:24:06
to the next uh uh and that is Dr. Vijay
1:24:06
to the next uh uh and that is Dr. Vijay Ragawan you know and he is the professor
1:24:09
Ragawan you know and he is the professor
1:24:09
Ragawan you know and he is the professor and head of AI INTS at Muttamil
1:24:12
and head of AI INTS at Muttamil
1:24:12
and head of AI INTS at Muttamil engineering college Tamil Nadu and he
1:24:14
engineering college Tamil Nadu and he
1:24:14
engineering college Tamil Nadu and he has been a Microsoft he is actually
1:24:16
has been a Microsoft he is actually
1:24:16
has been a Microsoft he is actually Microsoft MVP and also C#ar author
1:24:21
thank you Simon thank you for uh nice to
1:24:23
thank you Simon thank you for uh nice to
1:24:24
thank you Simon thank you for uh nice to see you and thank you given uh this
1:24:27
see you and thank you given uh this
1:24:27
see you and thank you given uh this opportunity for this wonderful occasion
1:24:31
opportunity for this wonderful occasion
1:24:31
opportunity for this wonderful occasion it's a great pleasure I'm very happy to
1:24:33
it's a great pleasure I'm very happy to
1:24:33
it's a great pleasure I'm very happy to share my greetings to Everyone all the
1:24:37
share my greetings to Everyone all the
1:24:37
share my greetings to Everyone all the teachers for happy teachers day for this
1:24:39
teachers for happy teachers day for this
1:24:39
teachers for happy teachers day for this wonderful occasion.
1:24:41
wonderful occasion.
1:24:41
wonderful occasion. I have lost 12 years I am connected with
1:24:46
I have lost 12 years I am connected with
1:24:46
I have lost 12 years I am connected with C# corner from this platform. Our
1:24:49
C# corner from this platform. Our
1:24:49
C# corner from this platform. Our students there are many students got
1:24:52
students there are many students got
1:24:52
students there are many students got opportunity from our platform. There are
1:24:55
opportunity from our platform. There are
1:24:55
opportunity from our platform. There are three consecutive
1:24:58
three consecutive
1:24:58
three consecutive uh what is that
1:25:00
uh what is that
1:25:00
uh what is that I'm outside the reason I'm not able to
1:25:05
I'm outside the reason I'm not able to
1:25:05
I'm outside the reason I'm not able to we in theater my family members are in
1:25:07
we in theater my family members are in
1:25:07
we in theater my family members are in theater just outside I came here I want
1:25:10
theater just outside I came here I want
1:25:10
theater just outside I came here I want to see all my good friends that is the
1:25:13
to see all my good friends that is the
1:25:13
to see all my good friends that is the reason I came outside it's a great
1:25:14
reason I came outside it's a great
1:25:14
reason I came outside it's a great opportunity for this wonderful occasion
1:25:16
opportunity for this wonderful occasion
1:25:16
opportunity for this wonderful occasion thank you my sir for giving this
1:25:18
thank you my sir for giving this
1:25:18
thank you my sir for giving this opportunity thank you Simon thank you
1:25:20
opportunity thank you Simon thank you
1:25:20
opportunity thank you Simon thank you Rohit thank you sir for this opportunity
1:25:23
Rohit thank you sir for this opportunity
1:25:23
Rohit thank you sir for this opportunity thank you shisha happen and dating.
1:25:25
thank you shisha happen and dating.
1:25:25
thank you shisha happen and dating. Thank you very much for listening. Thank
1:25:26
Thank you very much for listening. Thank
1:25:26
Thank you very much for listening. Thank you.
1:25:27
you.
1:25:27
you. Well, thank thanks to you. I know it's
1:25:28
Well, thank thanks to you. I know it's
1:25:28
Well, thank thanks to you. I know it's getting late, so we'll quickly move to
1:25:30
getting late, so we'll quickly move to
1:25:30
getting late, so we'll quickly move to the to the next one. And this is the
1:25:32
the to the next one. And this is the
1:25:32
the to the next one. And this is the final that we have. He is Dr. Vine
1:25:34
final that we have. He is Dr. Vine
1:25:34
final that we have. He is Dr. Vine Kitwari. He's a technical officer at
1:25:37
Kitwari. He's a technical officer at
1:25:37
Kitwari. He's a technical officer at Rani Durawati University, Chabalur
1:25:45
Dr. Bet.
1:25:51
Well, never mind. Uh with that said, you
1:25:54
Well, never mind. Uh with that said, you
1:25:54
Well, never mind. Uh with that said, you know, uh my my part for for this event
1:25:57
know, uh my my part for for this event
1:25:57
know, uh my my part for for this event is over, you know. Happy teachers day
1:25:58
is over, you know. Happy teachers day
1:25:58
is over, you know. Happy teachers day once again to everyone. My name is
1:26:00
once again to everyone. My name is
1:26:00
once again to everyone. My name is Simon. I'll see you again maybe on your
1:26:02
Simon. I'll see you again maybe on your
1:26:02
Simon. I'll see you again maybe on your screens or in your college campus. Until
1:26:05
screens or in your college campus. Until
1:26:05
screens or in your college campus. Until then, take good care of yourself.
1:26:06
then, take good care of yourself.
1:26:06
then, take good care of yourself. Simon, I think we have left someone.
1:26:09
Simon, I think we have left someone.
1:26:09
Simon, I think we have left someone. Who is it?
1:26:11
Who is it?
1:26:11
Who is it? I said uh
1:26:12
I said uh
1:26:12
I said uh can you name it?
1:26:16
Dr.
1:26:17
Dr.
1:26:17
Dr. and uh Dr. Vin B
1:26:22
and uh Dr. Vin B
1:26:22
and uh Dr. Vin B is not responding and yeah if Dr. Ashid
1:26:27
is not responding and yeah if Dr. Ashid
1:26:27
is not responding and yeah if Dr. Ashid rejoined
1:26:29
rejoined
1:26:29
rejoined right uh so Ashish Dr. Ashish can you
1:26:34
right uh so Ashish Dr. Ashish can you
1:26:34
right uh so Ashish Dr. Ashish can you hear us?
1:26:36
hear us?
1:26:36
hear us? Yeah. Yeah. It's audible.
1:26:38
Yeah. Yeah. It's audible.
1:26:38
Yeah. Yeah. It's audible. Perfect. So I think you were not there
1:26:40
Perfect. So I think you were not there
1:26:40
Perfect. So I think you were not there when you were taking your name, right?
1:26:41
when you were taking your name, right?
1:26:42
when you were taking your name, right? So you are a professor at IMSU campus
1:26:44
So you are a professor at IMSU campus
1:26:44
So you are a professor at IMSU campus Kazabad and we have been working with
1:26:46
Kazabad and we have been working with
1:26:46
Kazabad and we have been working with you for about 11 years, right? So it's
1:26:48
you for about 11 years, right? So it's
1:26:48
you for about 11 years, right? So it's all you now
1:26:50
all you now
1:26:50
all you now for your Hello. Yeah. Thank you Stephen
1:26:54
for your Hello. Yeah. Thank you Stephen
1:26:54
for your Hello. Yeah. Thank you Stephen because I'm a Dr. Ai Zigshit. I'm
1:26:57
because I'm a Dr. Ai Zigshit. I'm
1:26:57
because I'm a Dr. Ai Zigshit. I'm associate professor in Ajakar G Engine
1:26:59
associate professor in Ajakar G Engine
1:26:59
associate professor in Ajakar G Engine College. It's a top one institute that
1:27:03
College. It's a top one institute that
1:27:03
College. It's a top one institute that is a neck a++ accredited and I also done
1:27:08
is a neck a++ accredited and I also done
1:27:08
is a neck a++ accredited and I also done the MOU continue two years with a sharp
1:27:11
the MOU continue two years with a sharp
1:27:11
the MOU continue two years with a sharp corner and also associated with approx
1:27:16
corner and also associated with approx
1:27:16
corner and also associated with approx with a sharp corner and uh so at just
1:27:20
with a sharp corner and uh so at just
1:27:20
with a sharp corner and uh so at just like my younger brother and on the
1:27:22
like my younger brother and on the
1:27:22
like my younger brother and on the behalf of his behavior I continue to
1:27:27
behalf of his behavior I continue to
1:27:27
behalf of his behavior I continue to support our Rohit and uh uh Atul and uh
1:27:32
support our Rohit and uh uh Atul and uh
1:27:32
support our Rohit and uh uh Atul and uh thank you to all of you words fall
1:27:34
thank you to all of you words fall
1:27:34
thank you to all of you words fall sought to express how to truly grateful
1:27:37
sought to express how to truly grateful
1:27:38
sought to express how to truly grateful and humbled so I am recognized by the
1:27:40
and humbled so I am recognized by the
1:27:40
and humbled so I am recognized by the shisha corner economy on a special
1:27:43
shisha corner economy on a special
1:27:43
shisha corner economy on a special occasion of the teachers day so I
1:27:45
occasion of the teachers day so I
1:27:45
occasion of the teachers day so I recognition is not just a personal
1:27:47
recognition is not just a personal
1:27:47
recognition is not just a personal achievement but it's a reflection and
1:27:50
achievement but it's a reflection and
1:27:50
achievement but it's a reflection and inspiration and support I have received
1:27:52
inspiration and support I have received
1:27:52
inspiration and support I have received from my students colleagues and mentor
1:27:55
from my students colleagues and mentor
1:27:55
from my students colleagues and mentor over the year and also gaining the
1:27:57
over the year and also gaining the
1:27:57
over the year and also gaining the feedback of the shisha corner So being
1:28:00
feedback of the shisha corner So being
1:28:00
feedback of the shisha corner So being honored for doing what I love teaching,
1:28:03
honored for doing what I love teaching,
1:28:03
honored for doing what I love teaching, mentoring and guiding young minds, I
1:28:06
mentoring and guiding young minds, I
1:28:06
mentoring and guiding young minds, I feeling a beyond a joy. So right now I
1:28:09
feeling a beyond a joy. So right now I
1:28:09
feeling a beyond a joy. So right now I heartfuller
1:28:13
and uh Mr. Atul and Mr. Rohit and also
1:28:18
and uh Mr. Atul and Mr. Rohit and also
1:28:18
and uh Mr. Atul and Mr. Rohit and also thankful to Simon Stephen Simon. Okay.
1:28:22
thankful to Simon Stephen Simon. Okay.
1:28:22
thankful to Simon Stephen Simon. Okay. So thank you very much and Jahin to all
1:28:24
So thank you very much and Jahin to all
1:28:24
So thank you very much and Jahin to all of you. Thank you.
1:28:26
of you. Thank you.
1:28:26
of you. Thank you. All right, that's a jahin. Thank you so
1:28:27
All right, that's a jahin. Thank you so
1:28:27
All right, that's a jahin. Thank you so much Dr. Rashish. I think we have uh Dr.
1:28:30
much Dr. Rashish. I think we have uh Dr.
1:28:30
much Dr. Rashish. I think we have uh Dr. Vine with us once again. So Dr.
1:28:33
Vine with us once again. So Dr.
1:28:33
Vine with us once again. So Dr. Yeah, I I have some pro uh problem with
1:28:36
Yeah, I I have some pro uh problem with
1:28:36
Yeah, I I have some pro uh problem with my phone and now I uh I came here and
1:28:39
my phone and now I uh I came here and
1:28:39
my phone and now I uh I came here and now uh I would like to thank uh all of
1:28:43
now uh I would like to thank uh all of
1:28:43
now uh I would like to thank uh all of you uh for inviting me and I am
1:28:46
you uh for inviting me and I am
1:28:46
you uh for inviting me and I am associated with uh the institute Rani
1:28:48
associated with uh the institute Rani
1:28:48
associated with uh the institute Rani Dalati University
1:28:50
Dalati University
1:28:50
Dalati University uh University Institute of Computer
1:28:53
uh University Institute of Computer
1:28:53
uh University Institute of Computer Science uh from last uh 35 years and uh
1:28:59
Science uh from last uh 35 years and uh
1:28:59
Science uh from last uh 35 years and uh uh very n uh very grateful to
1:29:02
uh very n uh very grateful to
1:29:02
uh very n uh very grateful to uh some of uh institute of our some of
1:29:05
uh some of uh institute of our some of
1:29:05
uh some of uh institute of our some of institutes of our institute and uh this
1:29:09
institutes of our institute and uh this
1:29:09
institutes of our institute and uh this is my first association online assistant
1:29:11
is my first association online assistant
1:29:11
is my first association online assistant with you and uh definitely we will uh uh
1:29:16
with you and uh definitely we will uh uh
1:29:16
with you and uh definitely we will uh uh have come we will we can
1:29:21
have come we will we can
1:29:21
have come we will we can [Music]
1:29:23
[Music]
1:29:23
[Music] some community of teacher so that uh we
1:29:26
some community of teacher so that uh we
1:29:26
some community of teacher so that uh we can idea and once again I would like to
1:29:29
can idea and once again I would like to
1:29:29
can idea and once again I would like to thank and happy teachers teachers did to
1:29:31
thank and happy teachers teachers did to
1:29:32
thank and happy teachers teachers did to us.
1:29:33
us.
1:29:33
us. All right. Thank you so much. Thank you
1:29:35
All right. Thank you so much. Thank you
1:29:35
All right. Thank you so much. Thank you so much everyone. I hope I've covered.
1:29:36
so much everyone. I hope I've covered.
1:29:36
so much everyone. I hope I've covered. Have I missed anybody from from from the
1:29:39
Have I missed anybody from from from the
1:29:39
Have I missed anybody from from from the list?
1:29:41
list?
1:29:41
list? I think we have covered everybody. All
1:29:43
I think we have covered everybody. All
1:29:43
I think we have covered everybody. All right. So once again, as I was saying,
1:29:44
right. So once again, as I was saying,
1:29:44
right. So once again, as I was saying, thank you so much. My name is Simon and
1:29:47
thank you so much. My name is Simon and
1:29:47
thank you so much. My name is Simon and I'll see you maybe on your screens next
1:29:49
I'll see you maybe on your screens next
1:29:49
I'll see you maybe on your screens next time or maybe in your college campus. Ro
1:29:51
time or maybe in your college campus. Ro
1:29:51
time or maybe in your college campus. Ro is all you now.
1:29:53
is all you now.
1:29:53
is all you now. Yeah, thank you Simon. So uh it was
1:29:57
Yeah, thank you Simon. So uh it was
1:29:57
Yeah, thank you Simon. So uh it was awesome like I really feel uh great to
1:30:01
awesome like I really feel uh great to
1:30:01
awesome like I really feel uh great to be able to give you the like to be able
1:30:04
be able to give you the like to be able
1:30:04
be able to give you the like to be able to thank everyone on this uh podium
1:30:07
to thank everyone on this uh podium
1:30:07
to thank everyone on this uh podium currently digitally I'm connecting with
1:30:09
currently digitally I'm connecting with
1:30:09
currently digitally I'm connecting with you so respected
1:30:12
you so respected
1:30:12
you so respected esteemed guests and dear teachers on
1:30:14
esteemed guests and dear teachers on
1:30:14
esteemed guests and dear teachers on behalf of shisha corner and shoni I
1:30:17
behalf of shisha corner and shoni I
1:30:17
behalf of shisha corner and shoni I extend a heartful heartfelt board of
1:30:20
extend a heartful heartfelt board of
1:30:20
extend a heartful heartfelt board of thanks on this teachers day guru mandan
1:30:22
thanks on this teachers day guru mandan
1:30:22
thanks on this teachers day guru mandan so that's a program organized by shisha
1:30:24
so that's a program organized by shisha
1:30:24
so that's a program organized by shisha corner to honor the amount of work that
1:30:27
corner to honor the amount of work that
1:30:28
corner to honor the amount of work that all the teachers and mentors have done.
1:30:30
all the teachers and mentors have done.
1:30:30
all the teachers and mentors have done. So we thank all teachers and mentors for
1:30:32
So we thank all teachers and mentors for
1:30:32
So we thank all teachers and mentors for their tireless guidance and wisdom. You
1:30:34
their tireless guidance and wisdom. You
1:30:34
their tireless guidance and wisdom. You are the true architect of our future. I
1:30:37
are the true architect of our future. I
1:30:37
are the true architect of our future. I also acknowledge the organizing team
1:30:38
also acknowledge the organizing team
1:30:38
also acknowledge the organizing team including Mr. Maha, Mr. At Gupta, Dr.
1:30:42
including Mr. Maha, Mr. At Gupta, Dr.
1:30:42
including Mr. Maha, Mr. At Gupta, Dr. Adesh Gupta and Mr. Steven Simon for
1:30:44
Adesh Gupta and Mr. Steven Simon for
1:30:44
Adesh Gupta and Mr. Steven Simon for their leadership and support in making
1:30:46
their leadership and support in making
1:30:46
their leadership and support in making this program possible. As we reflect on
1:30:49
this program possible. As we reflect on
1:30:49
this program possible. As we reflect on the role of teachers in our life, let's
1:30:51
the role of teachers in our life, let's
1:30:51
the role of teachers in our life, let's uh let these light uh lines speak for
1:30:55
uh let these light uh lines speak for
1:30:55
uh let these light uh lines speak for all of us.
1:30:59
[Music]
1:31:09
G
1:31:12
G
1:31:12
G to all the and the attendees. Thank you
1:31:15
to all the and the attendees. Thank you
1:31:15
to all the and the attendees. Thank you for joining and making this celebration
1:31:17
for joining and making this celebration
1:31:17
for joining and making this celebration meaningful. With gratitude, we close
1:31:20
meaningful. With gratitude, we close
1:31:20
meaningful. With gratitude, we close this gathering by saluting our teachers,
1:31:23
this gathering by saluting our teachers,
1:31:23
this gathering by saluting our teachers, the guiding lights of our journey. Thank
1:31:25
the guiding lights of our journey. Thank
1:31:25
the guiding lights of our journey. Thank you and happy teachers day to everyone.
1:31:29
you and happy teachers day to everyone.
1:31:29
you and happy teachers day to everyone. Thank you all and happy teachers day.
1:31:30
Thank you all and happy teachers day.
1:31:30
Thank you all and happy teachers day. Thank you. Nice to see Vin Vinari sir
1:31:33
Thank you. Nice to see Vin Vinari sir
1:31:33
Thank you. Nice to see Vin Vinari sir here.
1:31:33
here.
1:31:33
here. Welcome sir. We were the first band from
1:31:36
Welcome sir. We were the first band from
1:31:36
Welcome sir. We were the first band from RDV.
1:31:38
RDV.
1:31:38
RDV. [Music]
1:31:41
[Music]
1:31:41
[Music] All right. Happy teachers day all. Thank
1:31:43
All right. Happy teachers day all. Thank
1:31:43
All right. Happy teachers day all. Thank you.
1:31:43
you.
1:31:43
you. Yeah. Thank you everyone. Thank you.
1:31:45
Yeah. Thank you everyone. Thank you.
1:31:45
Yeah. Thank you everyone. Thank you. Thank you all.
1:31:46
Thank you all.
1:31:46
Thank you all. Bye.
1:31:48
Bye.
1:31:48
Bye. [Music]
#Education
#Social Issues & Advocacy


