AI Innovation in India

20 Feb 2026 10:00h - 11:00h

Session at a glance

Summary

This discussion was part of a special session celebrating young innovation champions at an AI Impact Summit, highlighting the achievements of student entrepreneurs and the 10th anniversary of India’s Atal Innovation Mission. Three exceptional high school students presented their groundbreaking AI-driven startups that address critical societal challenges. Adhiraj Chauhan, an 11th-grade student, founded Delta AI Revolution, a mental health support platform that uses AI to provide therapy techniques for over 100 disorders, addressing India’s severe shortage of psychiatrists where only one serves per 100,000 people. Shreenidhi Baliga developed “Charades,” an innovative glove that converts sign language to speech and speech to Braille, specifically designed to help the deaf-blind community communicate more effectively. Jaiwardhan Tyagi, who recently appeared on Shark Tank India and secured funding, presented Neuropex EIS, an advanced AI healthcare technology that addresses distribution shift problems in medical vision language models through specialized radiology and dermatology pipelines.

The session also featured presentations from industry leaders, including Gaurav Dagaonkar from Hooper AI, who discussed India’s first native music licensing platform that uses AI to match songs with brands while ensuring artists receive proper royalties. Deepak Bagla, Mission Director of Atal Innovation Mission, emphasized that India will be the biggest beneficiary of AI as a delta multiplier, citing the country’s strength in working within unstructured environments and getting jobs done regardless of available resources. Sarah Kemp from Intel praised India’s approach to putting humanity at the center of AI development and highlighted the partnership’s role in mentoring these young innovators. The event concluded with the recognition of the top 50 AI tinkerpreneurs selected from 3,500 applications, representing the future of India’s innovation ecosystem and demonstrating the country’s potential to lead global technological advancement through its youth.

Keypoints

Major Discussion Points:

– Young Innovation Champions Showcase: Three high school students presented their AI-driven startups – Adhiraj with Delta AI Revolution (mental health support platform), Shreenidhi with Charades (sign language to speech/Braille converter), and Jaiwardhan with Neuropex (AI healthcare diagnostics who appeared on Shark Tank India)

– 10th Anniversary Celebration of Atal Innovation Mission: The event marked a significant milestone celebrating a decade of India’s largest grassroots innovation mission, with dignitaries emphasizing its global impact and success in nurturing young talent

– India’s AI Leadership and Potential: Speakers highlighted India’s unique position as the biggest beneficiary of AI as a “delta multiplier,” citing the country’s ability to work in unstructured environments, large population (1.4-1.6 billion), and strength in getting jobs done regardless of available resources

– AI Investment and Startup Ecosystem: Discussion of evaluation frameworks for AI innovations, including the importance of domain depth, proprietary data, revenue models, and strategic partnerships for scaling AI startups in India

– Music Technology and Licensing Innovation: Presentation of Hooper AI, India’s first native music licensing platform that uses AI to match music with brands while ensuring artists get paid, addressing the gap in music rights and licensing knowledge

Overall Purpose:

The discussion aimed to showcase young Indian innovators, celebrate the 10th anniversary of the Atal Innovation Mission, and demonstrate India’s emerging leadership in AI innovation. The event served as a platform to highlight successful student projects, discuss investment strategies for AI startups, and emphasize India’s potential to lead global AI development through its unique strengths and large-scale innovation programs.

Overall Tone:

The tone was consistently celebratory, inspirational, and optimistic throughout the discussion. Speakers expressed pride in young innovators’ achievements, excitement about India’s AI future, and gratitude toward partners like Intel. The atmosphere remained upbeat and encouraging, with frequent applause and expressions of hope for the future. The tone became particularly energetic during the certificate presentation ceremony, maintaining the positive and supportive environment that characterized the entire event.

Speakers

Speakers from the provided list:

– Tarunima Prabhakar – Role: Event moderator/host

– Adhiraj Chauhan – Role: Founder and CEO of Delta AI Revolution; Area of expertise: AI-driven mental health support platform; Title: 11th grade high school student

– Shreenidhi Baliga – Role: Student innovator from BG’s National Public School Bangalore; Area of expertise: Sign language to speech and speech to Braille conversion technology (project called “Charades”)

– Jaiwardhan Tyagi – Role: Engineer, student, and entrepreneur; Area of expertise: AI in healthcare, radiology AI, medical vision language models; Title: Founder of Neuropex (appeared on Shark Tank India)

– Deepak Bagla – Role: Mission Director; Title: Atal Innovation Mission

– Sarah Kemp – Role: Vice President International Government Affairs; Title: Intel

– Ojaswi Babbar – Role: Speaker on AI investment and incubation; Area of expertise: AI startup evaluation, incubation, and investment

– Gaurav Dagaonkar – Role: Co-founder and CEO of Hooper AI; Area of expertise: Music technology, music licensing platform; Title: IIM Ahmedabad graduate, former music director

– Shubham Tribedi – Role: Event coordinator for certificate distribution

Additional speakers:

– Sufeza Salim – Role: Program lead (mentioned for felicitation ceremony)

– Dipali Upadhyaya – Role: Program lead (mentioned for felicitation ceremony)

– Sumit – Role: Admin and finance head (mentioned for felicitation ceremony)

Full session report

This comprehensive discussion at the AI Impact Summit celebrated both exceptional young innovation champions and the 10th anniversary of India’s Atal Innovation Mission, positioning India as an emerging leader in human-centred artificial intelligence development. The session showcased three remarkable high school students whose AI-driven startups demonstrate the transformative potential of youth-led innovation in addressing critical societal challenges.

Exceptional Youth Innovation in AI

The session’s centrepiece featured three extraordinary young entrepreneurs whose projects exemplify the intersection of advanced technology with social impact. Adhiraj Chauhan, an 11th-grade student and founder of Delta AI Revolution, presented a compelling solution to India’s mental health crisis. His AI-driven platform addresses the severe shortage of mental health professionals in India, where only one psychiatrist serves per 100,000 people—a ratio that renders traditional healthcare approaches insufficient for the country’s 1.4 billion population. The platform is training different therapy techniques and supports over 100 different mental health disorders. The startup has established partnerships with professional psychiatric clinics, including Dr. Mora Psychiatric Clinic, and is in discussions with the Delhi Psychiatrist Association. Having served approximately 20 clients whilst transitioning to a business-to-consumer model, the venture has secured funding from the Ministry of Electronics and IT. Adhiraj specifically thanked the Atal Innovation Mission for their Tinkering Lab where he started his project.

Shreenidhi Baliga from BG’s National Public School Bangalore presented “Charades,” named after the popular game, which addresses accessibility challenges for the deaf-blind community through a revolutionary glove that converts sign language to speech and speech to Braille. This device represents a breakthrough in assistive technology, and the project’s development was enhanced through the Tinkerpreneur Challenge boot camps and mentorship programmes provided by the Atal Innovation Mission and Intel partnership.

Jaiwardhan Tyagi demonstrated exceptional technical sophistication in presenting Neuropex EIS, an advanced AI healthcare technology addressing fundamental limitations in current medical AI systems. Having recently appeared on Shark Tank India, he secured funding from Sir Raman Gupta, founder of Boat Lifestyle, and a founder fellowship from Sir Ritesh Agarwal, founder of Oyer Rooms. Tyagi’s work tackles the critical issue of distribution shift in medical AI—where models perform well on curated benchmarks but fail with real-world variations. His solution employs a multi-modal approach with separate pipelines for radiology and dermatology, incorporating “dyno plus clip plus retrieval augmented vision language models.” His insight that “the problem isn’t the architecture itself but the thinking that a single model has the power to understand every part of every dynamic of human health” demonstrates mature understanding of AI’s limitations.

Atal Innovation Mission’s Decade of Impact

The celebration of the Atal Innovation Mission’s 10th anniversary provided crucial context for understanding the ecosystem nurturing these young innovators. Mission Director Deepak Bagla emphasised that AIM has become the world’s largest grassroots innovation mission, celebrating “96 hours” and the organisation’s 10th birthday. The current cohort of 50 AI tinkerpreneurs was selected from over 3,500 applications across the country, representing a rigorous selection process identifying the most promising young innovators.

The partnership with Intel, spanning the entire decade, has been instrumental in providing technical mentorship, training programmes, and evaluation frameworks. Sarah Kemp, Vice President of International Government Affairs at Intel, highlighted how this collaboration has been “life-changing” for all involved parties, emphasising the mutual benefit derived from investing in youth innovation and the importance of human-centred AI development.

India’s Strategic Positioning in Global AI Leadership

Bagla articulated a compelling vision of India’s unique advantages in the global AI landscape, asserting that India will be “the biggest benefactor of AI as a delta multiplier.” This is grounded in the country’s current population of 1.4 billion projected to reach 1.6 billion by 2060, its trajectory towards becoming one of the world’s largest economies, and its demonstrated ability to work effectively in unstructured environments. He illustrated this through India’s performance during COVID-19, where the country emerged as “the strongest economy within COVID.”

Kemp’s emphasis on India’s “superpower” being its people aligns with the evidence presented throughout the session. However, Bagla also noted the challenges ahead, observing that “the disruption is so immense that the ability to re-skill and re-do ourselves is going to be so high and it’s going to be generational.”

Business Ecosystem and Creative Industries

Ojaswi Babbar outlined a comprehensive investment framework for AI startups, emphasising domain depth, proprietary data access, and sustainable competitive advantages. His approach focuses on rapid validation through stress-testing with real-world corporate clients and developing robust revenue models.

Gaurav Dagaonkar, an IIM Ahmedabad graduate who became a music director with songs performed by artists like Arijit Singh, Sonu Nigam, and Shreya Ghoshal, presented Hooper AI. His platform addresses the gap in music rights and licensing knowledge in India, noting that “India loves its music” but lacks understanding of licensing requirements. He challenged the audience: “I bet if there’s any entrepreneur in this room who is using a Bollywood song, do you know how many licenses you need?” The platform has attracted major labels, renowned artists like A.R. Rahman, and prominent brands.

Ceremonial Recognition and Future Implications

The session concluded with the recognition of the top 50 AI tinkerpreneurs and the unveiling of the 10-year Atal Innovation Mission logo, including ribbon cutting and certificate presentations. This represented the institutionalisation of innovation as a core national capability, creating a sustainable pipeline of innovators who understand both technical excellence and social responsibility.

The convergence of government support through AIM, private sector partnership through Intel, and student-led innovation creates a comprehensive ecosystem addressing multiple aspects of innovation development. The consistent emphasis on using AI “for good” and making society “a better version of ourselves” reflects a values-driven approach to innovation that may offer an alternative model to purely market-driven approaches.

The session demonstrated that India’s approach to AI development, characterised by youth leadership, institutional support, private sector partnership, and strong emphasis on social benefit, positions the country well to play a leading role in shaping the global future of artificial intelligence development while maintaining focus on human welfare and societal benefit.

Session transcript

Tarunima Prabhakar

For our next very special, I would like to call upon three very special young innovation champions on the stage and share their experience. We have with us Srinidhi Bagla, Jai Vardhan and Adhiraj. Please come on the stage and share your journey. Thank you.

Adhiraj Chauhan

Hello, my name is Adhiraj Chauhan. And I’m a high school student of 11th grade. And I’m the founder and CEO of Delta AI Revolution, Delta standing for change. The reason my company is called Delta AI Revolution is because I’m a very, very passionate entrepreneur who believes in the intersection of solving societal issues with modern day technology. So I firstly like to extend my heartiest thanks to the Atil Innovation Mission. It is in their Atil Innovation Tinkering Lab, which I started my project and created my first MVP. Also to Intel for providing support. It’s important mentorship and to my very own school who’s provided. We support and been there with me every step. So my journey started when I realized that amongst the youth in our country, mental health is an epidemic.

And despite a lot of efforts because of a large population, the ratio of psychiatrists to people is one psychiatrist for 100 ,000 people. So my startup is a mental health support platform. It is an AI -driven platform training different therapy techniques ready to cater up to more than 100 disorders. We provide our platform to different psychiatrists firms such as Dr. Mora Psychiatric Clinic. And we are also in talks with the Delhi Psychiatrist Association. We provide our platform to them which they can provide to their clients. We’ve touched over almost 20 clients right now. We’re shifting to a B2C model. I’d also like to thank the Ministry of Electronics and IT who has provided me funding.

And again, I’d like to thank Agile Innovation Mission and Intel for providing me this opportunity as a young innovation leader and a young entrepreneur. Thank you so much.

Tarunima Prabhakar

Thank you. Shreenidhi please come on stage and share your experience.

Shreenidhi Baliga

Hello everyone myself Shreenidhi from BG’s National Public School Bangalore. I’m very grateful for everyone who’s been part of organizing the summit for giving us this wonderful opportunity of being here and presenting our project. It gives us confidence to build something new and gives us confidence that people believe in the youth today and innovation just doesn’t depend on age it depends on intent. So my project is basically charades named after a game which most of us might be knowing dumb charades where where the players are supposed to explain a movie or a song name without using speech and only hand. I decided to name my project charades because this is because the game is similar to something similar to what we try to help.

It is a glove that converts sign language to speech and speech to Braille trying to help the deafblind community. Right now we have developed our models over thousands of images using machine learning deep learning and all of this was possible only because of the boot camps from Tinkerpreneur Challenge, the mentorship programs from Atul Tinkerpreneur and Intel, Neeti Aayog, the mentoring sessions held by the summit organizers and we’re really thankful for everyone who has been part of this summit. Yeah that is everything I would like to say right now. Thank you.

Tarunima Prabhakar

We have our next next innovator and I don’t want to introduce him he’ll introduce himself and it’s going to be a very surprising and his journey is very surprising and let me call him on stage

Jaiwardhan Tyagi

thank you ma ‘am and hello everyone I am Jaywardhan Tyagi so if I’m a bit clean I just recently got appeared on Shark Tank India where I secured funding from Sir Raman Gupta founder of Boat Lifestyle and a founder fellowship from Sir Ritesh Agarwal who is the founder of Oyer Rooms so yeah to start with like let’s describe myself on broader spectrum I am an engineer I’m a student and I am a reader so so so broader AI in healthcare has evolved structurally over the recent decade. Like, if I had to describe radiology AI in 2016, it would be like a metal detector at an airport. But today it’s like a full airport security system with a CT scanner, with behavioral analytics and security cameras and, you know, all.

So, we have seen amazing benchmarks, especially from University of Florida recently, this year and the previous year’s end. And we have seen great progress in medical vision language models. But the question that matters isn’t how well these models perform on these curated benchmarks. It is, will they maintain this performance when the distribution shift is introduced? So, the distribution shift is like some edge cases, which are not so substantial. Like, if we talk about radiology, an input from a newly installed MRI, with a different contrast that can be considered uh considered as a distribution shift actually vision language models today uh are very poor on handling those distribution shifts they hallucinate a lot so basically uh the problem isn’t the architecture itself but it’s the thinking that okay a single model has the power to understand like every part of every dynamic of human health which is of course possible and you know but this is less than a technical necessity and more like uh you know obsession with scaling so yeah so basically um what we have derived it’s it’s almost like thinking a transcription model which doesn’t take audio as an input but takes video frames and just just try to determine what the person is saying from those videos it’s possible but inefficient so what’s the solution there The solution is a system or a framework that reasons across modalities and refers to previous conclusions, contradicts them, and finally describes them all in an understandable manner rather than a clinical report.

So, yeah, it turns out I’m working on the same thing. So, yeah, so before I describe Neuropex EIS technology, as it appeared on Shaktang, it’s good to first clarify what it is not. So it’s not a classifier for, you know, narrow disease prediction tasks. It’s not a standalone VLM with a reporting layer attached, and it’s not an orchestration on a GPT. So now let’s, like, discuss what it is really. So we have two pipelines. One is for radiology, and one is for dermatology. A radiology pipeline has dyno plus clip plus retrieval augmented vision language models, which actually… are able to understand multiple sequences of MRIs and can read the x -rays as well and can describe them in real time using clinical language.

It’s still in the active development when it comes to structuring those findings, but yeah, it’s still in the game. So the older radiology pipeline, which near the shark tank time, that was like a segmentation model, which took in 3D MRI files and just segmented the three tissues, CSF, gray matter, and white matter tissues in the brain. So what happens is when you have those tissue segmentations and you have those proportions, you can actually risk for a wide variety of neurological disorders. That was all of the radiology pipeline. I plan to actually show the demo as well, but we have time constraint. Yeah. So. Let’s talk about deep down then. Deeddom has a visual language model that’s trained on Demoscopy, Clinical and Histopathology Datasets and So you first describe your problem Vocally and then you answer A clarification question And then it just generates a report And it’s live out there, you can just sign up on the Neuropexia Site.

So let’s cover up It seems no less than a mission And this mission aligns with India’s goals of Leveraging technology for an outcome Driven impact. And yeah, it turns out We’ll be working on it So yeah, thank

Tarunima Prabhakar

Thank you so much I would now like to invite our mission director Atal Innovation Mission to have a few words And address the audience

Deepak Bagla

Thank you Thank you Thank you Thanks Arunima Such a pleasure seeing you all here So many partners You know it’s amazing Were you guys listening to what they were saying These kids It’s unbelievable You know I just finished A session, this was on the future of work And I was coming, there were four of us And I was telling them the biggest challenge For us will be The first is I asked them to raise hands Of how many people have been laid off There was only one And I told them He’s the only person ready for the next 10 years It’s very important And you know the problem We are trying to solve on mental health That is going to be the biggest challenge Going forward The disruption is so immense That the ability To re -skill and re -do ourselves Is going to be so high And it’s going to be generational So I think people who have just gone into the workforce And at least for the next 10 odd years Otherwise which are going to face the brunt of it.

And that’s where things like this are going to be critical. But what I was saying there is, and which is going to happen here, in the next 96 hours, Sarah, you and I will celebrate our 10th year of the journey. But more importantly, we will also celebrate the 10th birthday of the Atal Innovation Mission. And just imagine, it is a 10 -year -old, which is today the world’s largest grassroots innovation mission. It’s unbelievable. And this is where you’re seeing what is happening. See the results. These are the ones which are now just going to take on that new India. And that is what I was saying there, that the big challenge is not going to be creating jobs, because just now, we are looking for 1 million jobs a month, right?

So far. Now we will have 12 and 13 and 14 -year -olds ready to take on tasks. We are fossilized completely. And the point here remains that that is where I say two points. The biggest delta multiplier of AI, the benefactor of this is India. The biggest benefactor of AI as a delta multiplier is India. I’ll tell you why. 1 .4 billion will be 1 .6 by 2060. 1 .6 billion people completely empowered. And starting from a low income to shoot up to be one of the biggest economies of the planet. You see the delta? We finally have a delta. We have a tool which is going to make that happen. thing is, for some of us, ma ‘am, we might actually see it happen in our own lifetime.

It is going to be so fast. It is so rapid. And the biggest benefit there which comes is two things about India, which are our biggest strengths. Think about it. The first is the ability to work in an unstructured environment without a playbook. You showed it. The way worst example in human history which happened, the biggest calamity was COVID, the pandemic. There was no playbook. You did not know what to do with it. You emerged as the strongest economy within COVID. You did it. It was unstructured. No one in the world had a playbook. The biggest strength of all of you, and we look up to you as the future which you are, and you’re going to be creating.

the superpower of the world, the biggest strength of India is getting a job done, regardless of the resources available. Ask an Indian, he will get the job done. And Sarah, that is what is the strength of this Jagannath. Guys, today it is about you. Really fantastic. And you know, we are so lucky we have our old partners with us, who started with us right away. Thank you, ma ‘am. Thank you, right from the beginning. You, Sarah. Thank you for walking this journey with us. It’s a long way to go. We have a lot to do. And we are all with you and behind you. And actually looking forward and looking up to all of you.

So thank you for making us proud. Very well done. And your presentation? remarkable. Thank you. Thank you very much.

Tarunima Prabhakar

Thank you so much, sir. Now we have with us a very special guest, Mrs. Sarah Kemp. She is the Vice President International Government Affairs, Intel. I would request,

Sarah Kemp

Good afternoon. It’s not very often in your life that you get an opportunity to make such a difference. And so I want to start by saying thank you, because this journey of 10 years has been life -changing to all of us. And I want to start also by asking all of our technologists, to start… our future technologists, to stand up so that we can properly thank you. So all of the future technologists in the audience, I see you all with your – Stand up. Thank you. You are inspirational, and you are what gives me hope for the future. When I read the headlines and I get a little pressed, I take out my Changemaker brochure that has all of your projects in it, and I think, wow, there is hope for the future.

And I would also echo, I think India’s superpower is absolutely its people, and it is what’s going to make a difference. And I also want to say that I am so grateful to the Indian government for their support. For how they have – teed up and how they are framing AI. At this summit, not only is this summit making history because it is the first summit in the global south and it’s going to lead the global south and India is going to lead that, but what I’m really excited about is the heart and the human that India has put at the center of AI and making sure that the AI is to help people first and foremost.

And so to our future technologists, we put on you a great responsibility because with great talent comes great responsibility. You are looking at the future and you are looking at the future and you are looking at leading us forward. You have the ability to make the society you want, to make us a better version of ourselves by using AI. for good. And I just want to say I am very excited because I have great ambitions for all of you. But with that, I do want to just thank all the partners and look forward to another 10 years. And before we know it, we’ll be there. And I just want to say again, thank you. On behalf of Intel, it has been an incredible honor to be able to be a small player in this.

So, thank you.

Tarunima Prabhakar

Thank you so much, ma ‘am. That was really inspiring. I would also like to mention that, you know, we have top 50 students present, you know, AI tinkerpreneurs present with us. And they were shortlisted by Intel and Atal Innovation Mission by rigorous evaluation. And they were trained and, you know, mentor session was done. So, I would request the dignitaries on the stage to unveil the tinkerpreneur compendium. ma ‘am sir can you please unveil the tinkerpreneur compendium yes we can also have the three young innovation champions jaywardhan srinidhi adhiraj to come can we also have hufeza salim yes on the count of three you can open the ribbon three I see very less energy, you know.

Thank you. Thank you so much. We actually have… So, you know, as our mission director just said that this is the 10th year of Atal Innovation Mission, I mean, like, we, everyone here should be very excited about it because something that you’re seeing right now is being seen only by you. Nobody here has witnessed… the logo of 10 years of Atal Innovation Mission. What they are holding in their hands is the logo of 10 years of Atal Innovation Mission. Can we have a huge round of applause from the crowd? We are also going to play a video. We are also going to play a video. Thank you so much, sir, for joining us. Okay, let’s move on to our next session.

We have a very special address by Mr. Ojasthi Babbar. Can you please come on stage and

Ojaswi Babbar

identify whether each one of the AI innovations which are happening all across are actually worth backing or not. Otherwise, it’s all noise, all hype, and we try to stay distant from them as such. But having said that, this is the framework for our evaluation. What exactly do we do? Once somebody passes on this, off with this captive network framework, how exactly do we help? How exactly does one incubate, accelerate, and invest? And what kind of value addition do we bring in while we have spoken about them bringing in that kind of value? The first one is rapid validation, if you move on to the next slide. The incubator, the accelerator, and as an investor, we help in rapid validation of these ideas.

The earlier side, though, but we can probably lock on to this slide as well. So we help you stress test that particular feasibility. We help you stress test whether your particular solution would actually work in the real work or not. By bringing in the right corporate client, by bringing in the right pilot partners as such and making sure that the rap… So at the incubator and at accelerator, we have a philosophy. We say we need to fail fast, but we need to fail forward. We need to learn quickly, iterate quickly, and move fast. The second one is, of course, of the controlled pilots that we bring in through our corporate partners. We have a corporate adoption program which we utilize wherein a lot of corporate partners plug into the incubator to give in problem statements which are solved by different entrepreneurs at each one of the different levels.

So that is one of the other programs that we have. Post that, there’s a litmus test that we do and that we help out with is by making sure that there is the right revenue model associated with each one of the startups that actually present and that are actually incubated as such. And here in terms of… These revenue models, we help them optimize the inference cost. I think we’re short of time so the essence is to ensure that we make sure that there’s enough revenue which is coming in, the revenue model is right and tight and that can move forward and get to a global scale level as such and of course the last one being making sure that once you’re growing you would be in need of capital and that capital comes in with the right partners, the right strategic investors and the other stakeholders as such.

Stakeholders like Atal Innovation Mission, like Intel would probably play a very important role when you’re scaling up from 0 to 11. So moving forward that’s the last slide that we have that is actually the gist of our entire AI thesis as such. We believe that any AI innovations which would actually thrive in an Indian ecosystem would have domain depth they would have the right proprietary data which they would utilize to create a mode, a barrier to entry as such and given multiple returns and relevant returns as such and of course having infrastructure railroads like that we have in the country as such if they can utilize the distribution access that we have I think we have a winning equation right in our hands for all AI innovations all across.

In the interest of time I’ll just stop up there. Thank you.

Tarunima Prabhakar

Thank you so much sir. I would now request Ms. Sara to please felicitate Mr. Rojasvi. Can you please come on stage sir? Can we have a round of applause? Can we also have Adhiraj and Jaywardhan to come on stage? We would like to honor you with something for being such good innovation champions. Sara ma ‘am if you could do the honors. Thank you so much. We now have our next speaker. He is the founder, co -founder and CEO of Hooper AI, Mr. Gaurav Dagongar. Can we have a huge round

Gaurav Dagaonkar

Since I know we’re pressed for time, I’ll get going right away. I must say I was extremely happy today to come here to get a chance to talk about Hooper. But I think what’s made me really happy is sitting right in between Jayavadar and Srinidhi. I don’t think I’ve felt that energized. I’ve felt energized in a long, long time. Since we are a music technology company, let’s do this a little differently. How many of you recognize this tune? You get it, right? Thank you. Had to. This song released 50 years ago, more than 50 years ago, composed by R.D. Burman, written by Anand Bakshi, sung by the great Kishore Kumar. In 2016, and the reason I had to bring this up is I happened to make a cover version of this song that became really popular.

A few years later, a mint brand launched in India using this cover version as their audio campaign. And as I checked last week, over 100 startups have still used this in the last three months. To promote their product or their brand. Now the question is, have they got a license? Did Anand Bakshi get paid? Did R.D. Burman get paid? A little selfish, did I get paid? A lot of youngsters here who will make covers or who will make originals in the future need to ask this question. And that’s what we do. I’m Gaurav Dagaonkar. I’m the co -founder and CEO of Hooper. And I’ve made my passion my profession. I graduated from IIM Ahmedabad and became a music director.

So for a long time, I made music for films. I’ve had the fortune of having folks like Arijit Singh, Sonu Nigam, Shreya Ghoshal sing my songs. But after 10 years in the music industry, what I felt was, one, India loves its music. Whether it’s our films, whether it’s TV, whether it’s ads, all the deals, 6 million reels we consume daily, they run on music. And yet, when it comes to music rights and music licensing, there seems to be no knowledge. That’s an opaque space. I bet if there’s any entrepreneur in this room, who is using a Bollywood song, do you know how many licenses you need? The better question is, I don’t think, did you even know you needed a license in order to use it, right?

And that’s what we’re solving. Before we built Hooper, India did not have a single platform, even one, that could actually license music. It gives me great pride to say that Hooper is India’s first native, homegrown music licensing platform. And of course, we are a part of the Atal Innovation Mission ecosystem, so that makes me extremely happy. In a nutshell, we are a marketplace, where on one side, the largest labels, the largest artists come and list their songs. So you have folks like Yash Raj Films, Universal Music, even people like A.R. Rahman, next week we’ll get Hanuman Kind, listing their songs. And on the other side, it’s basically brands who come and like it. the music.

Over the last couple of years, we now have over 3 lakh of India’s biggest influencers and 220 brands that are licensing music from us. And it works in a very, very simple manner where the song gets uploaded on the platform, a brand discovers it, licenses it, and the royalty or the revenue goes to the artist. Beneath all of this is our AI infrastructure layer. And it works in a really cool manner. First, when a song comes in, we process that raw audio. We use a multimodal AI there to create different tags such as mood. Is this a song? Is the song a happy song, a sad song? Will it go for a fashion brand or a sports brand?

We also use LLMs to understand brands and try to create some kind of a fingerprint for every brand. And then we try and match the two. What music would work, say, for Baskin and Robbins? What music would work for a Dairy Day? What music would work for a Baskin and Robbins? What music would work for a Baskin and Robbins? mantra and so on that’s essentially what we have done and now it gets exciting because we’ve legally licensed music from authors and composers we can now build on top of it what if say for Mahendra Thar I want to create a hip -hop remix and I want to do it legally and ethically so that the artist gets paid and I think that is where I would love to invite many of you who probably have music as a passion and would want to build on top of the Hooper stack that’s a bit on our AI layer I love doing you know I love my job because on one side we’ve got the largest creators using the platform be it folks like Ranveer Brar, Ashish Vidyarthi, Sadhguru, the Chief Minister of Maharashtra Mr. Devendra Fadnavis’s YouTube channel uses Hooper and I hope that this year we also get a chance to soundtrack our Honorable Prime Minister’s social media content and videos and apart from that we also have brands large brands like Himalaya, Myntra, Mariko as well as startups that use the platform I’ll just take half a minute to play you a short audio visual that will give you a glimpse of what Hooper has done in the Indian soundtracking ecosystem If the visual doesn’t load I believe it might be better I just want to sing a song That’s so good, that is nice It’s pigeon India Oh Thank you.

Thank you. the AIM ecosystem in trying to ensure that India tells better stories, tells them legally, ethically and responsibly. Thank you so much.

Tarunima Prabhakar

Thank you so much, sir. So we would like to felicitate you if Saramam could do the honors again. He played some music. At least we can clap. So today we have with us top 50 AI thinkpreneurs. You know, these are the people who got selected from about 3 ,500 applications and they are here today from each and every corner of the world representing at the AI Impact Summit. Before I call them, to stage, to give them certificates. I would like to request Ms. Dipali Upadhyaya, our program lead, Ms. Sufeza Salim, Mr. Sumit, our admin and finance head, to please felicitate Ms. Sara Kemp, who is, you know, a huge partner. Intel has been supporting us in training, mentoring, and the selection process of these top tinkerpreneurs.

Thank you so much, ma ‘am. Thank you. give a chair. Everybody please give a chair. These are our star students and you know yeah so Shubham is here to you know felicitate them.

Shubham Tribedi

Yeah so from DAV Centenary Schools do we have? Yeah please come forward and then from Infant Jesus School Infant Jesus yeah and ML Khanna the mentors, the teachers as well as the students. Come forward please for a quick photograph. Just come forward please. Yeah Take your certificates and stand You just hold the certificates and take a picture and then why don’t you also come Come come come Come in come in Come in come in Come in come in Come in come in Come in come in Then we have Vidyashil Pagadmi, Radiant International School, Lakeford School and KVIISC. Please come forward quickly. Vidyashil Pagadmi, Radiant, Lakeford and KVIISC. Silver Oaks, Silver Oaks, JSS Matriculation. You can also come forward please.

Join them, join them please. Go ahead. them. Yes, please. The next lot can come. Yes, please. Yes. Somalwar School, Father Eggnall, Murarji Desai, please come forward. Come forward quickly. Yes, please. We can move to the next lot. Yes. Next lot, please, quickly. Murarji Desai, Silver Oak, Yes, please. Please come forward. Yes, after this, all those schools who are left can come over, the students as well as the mentors. All those schools after this who are left can come forward, the students as well as the mentors. That would be the last camera shot for the day. So whoever is left, please come forward. There is a session scheduled after this. So please, whoever is left, come forward.

The students and the mentors. Quickly settle down please The last lot is here Thank you Ma ‘am you can Just settle down Just settle down this room Thank you ma ‘am Thank you Thank you Thank you ma ‘am Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you

Adhiraj Chauhan

Speech speed

193 words per minute

Speech length

285 words

Speech time

88 seconds

AI‑driven mental‑health platform addressing psychiatrist shortage

Explanation

Adhiraj presents a startup that offers an AI‑driven mental‑health support platform capable of handling over 100 disorders, aiming to mitigate the severe psychiatrist‑to‑population ratio in India. The solution is positioned as a response to a mental‑health epidemic among youth.

Evidence

“So my startup is a mental health support platform.” [1]. “It is an AI -driven platform training different therapy techniques ready to cater up to more than 100 disorders.” [2]. “And despite a lot of efforts because of a large population, the ratio of psychiatrists to people is one psychiatrist for 100 ,000 people.” [7]. “So my journey started when I realized that amongst the youth in our country, mental health is an epidemic.” [13].

Major discussion point

Youth‑led AI innovation addressing societal challenges

Topics

Artificial intelligence | Social and economic development

Shreenidhi Baliga

Speech speed

122 words per minute

Speech length

223 words

Speech time

109 seconds

Sign‑language‑to‑speech/Braille glove for the deaf‑blind community

Explanation

Shreenidhi describes a glove that translates sign language into speech and speech into Braille, directly supporting the deaf‑blind community. This innovation leverages AI to bridge communication gaps for a marginalized group.

Evidence

“It is a glove that converts sign language to speech and speech to Braille trying to help the deafblind community.” [16].

Major discussion point

Youth‑led AI innovation addressing societal challenges

Topics

Artificial intelligence | Closing all digital divides

Jaiwardhan Tyagi

Speech speed

134 words per minute

Speech length

723 words

Speech time

322 seconds

Multimodal AI framework for radiology and dermatology handling distribution shift

Explanation

Jaiwardhan outlines a multimodal AI framework that reasons across modalities to overcome distribution‑shift challenges in medical imaging, covering both radiology and dermatology. The approach moves beyond single‑model limitations to provide reliable clinical reports.

Evidence

“The solution is a system or a framework that reasons across modalities and refers to previous conclusions, contradicts them, and finally describes them all in an understandable manner rather than a clinical report.” [30]. “One is for radiology, and one is for dermatology.” [29]. “It is, will they maintain this performance when the distribution shift is introduced?” [35]. “A radiology pipeline has dyno plus clip plus retrieval augmented vision language models, which actually… are able to understand multiple sequences of MRIs and can read the x -rays as well and can describe them in real time using clinical language.” [38].

Major discussion point

Youth‑led AI innovation addressing societal challenges

Topics

Artificial intelligence | Social and economic development

Tarunima Prabhakar

Speech speed

79 words per minute

Speech length

669 words

Speech time

504 seconds

Summit organization and platform for young innovators

Explanation

Tarunima highlights the AI Impact Summit, noting the selection of top 50 AI think‑preneurs from thousands of applicants and the role of Intel and Atal Innovation Mission in training and mentoring. The summit serves as a showcase and accelerator for youth‑led AI projects.

Evidence

“So today we have with us top 50 AI thinkpreneurs.” [8]. “We now have our next very special, I would like to call upon three very special young innovation champions on the stage and share their experience.” [41]. “You know, these are the people who got selected from about 3 ,500 applications and they are here today from each and every corner of the world representing at the AI Impact Summit.” [44]. “Intel has been supporting us in training, mentoring, and the selection process of these top tinkerpreneurs.” [48]. “And they were shortlisted by Intel and Atal Innovation Mission by rigorous evaluation.” [68].

Major discussion point

Support ecosystem: Atal Innovation Mission, Intel, mentorship & funding

Topics

The enabling environment for digital development | Capacity development

Deepak Bagla

Speech speed

137 words per minute

Speech length

722 words

Speech time

314 seconds

AIM’s 10‑year impact and AI as a “delta multiplier” for India’s future

Explanation

Deepak emphasizes that the Atal Innovation Mission (AIM) is now a ten‑year‑old grassroots innovation mission and positions AI as a major multiplier for India’s development. He frames India as the biggest beneficiary of AI‑driven growth.

Evidence

“And just imagine, it is a 10 -year -old, which is today the world’s largest grassroots innovation mission.” [50]. “The biggest benefactor of AI as a delta multiplier is India.” [51]. “The biggest delta multiplier of AI, the benefactor of this is India.” [52].

Major discussion point

Support ecosystem: Atal Innovation Mission, Intel, mentorship & funding

Topics

The enabling environment for digital development | Artificial intelligence

Sarah Kemp

Speech speed

137 words per minute

Speech length

402 words

Speech time

175 seconds

Intel’s partnership, encouragement of future technologists, and AI‑for‑good stance

Explanation

Sarah articulates Intel’s commitment to AI for good, stressing the summit’s historic role in the Global South and calling on future technologists to assume responsibility. She frames AI as a tool for societal benefit.

Evidence

“At this summit, not only is this summit making history because it is the first summit in the global south and it’s going to lead the global south and India is going to lead that, but what I’m really excited about is the heart and the human that India has put at the center of AI and making sure that the AI is to help people first and foremost.” [12]. “On behalf of Intel, it has been an incredible honor to be able to be a small player in this.” [64]. “So all of the future technologists in the audience, I see you all with your – Stand up.” [65]. “And so to our future technologists, we put on you a great responsibility because with great talent comes great responsibility.” [66].

Major discussion point

Support ecosystem: Atal Innovation Mission, Intel, mentorship & funding

Topics

The enabling environment for digital development | Artificial intelligence

Ojaswi Babbar

Speech speed

175 words per minute

Speech length

579 words

Speech time

197 seconds

Rapid validation, controlled pilots, revenue‑model optimisation and investment pipeline

Explanation

Ojaswi outlines a three‑step commercialization pathway: rapid validation of AI ideas, controlled pilot deployments with corporate partners, and revenue‑model optimisation followed by capital raising. This framework is designed to scale AI startups efficiently.

Evidence

“The incubator, the accelerator, and as an investor, we help in rapid validation of these ideas.” [42]. “The first one is rapid validation, if you move on to the next slide.” [71]. “These revenue models, we help them optimize the inference cost.” [72]. “By bringing in the right corporate client, by bringing in the right pilot partners as such and making sure that the rap…” [73]. “The second one is, of the controlled pilots that we bring in through our corporate partners.” [74]. “Post that, there’s a litmus test that we do and that we help out with is by making sure that there is the right revenue model associated with each one of the startups that actually present and that are actually incubated as such.” [75]. “I think we’re short of time so the essence is to ensure that we make sure that there’s enough revenue which is coming in, the revenue model is right and tight and that can move forward and get to a global scale level as such and of course the last one being making sure that once you’re growing you would be in need of capital and that capital comes in with the right partners, the right strategic investors and the other stakeholders as such.” [76].

Major discussion point

AI commercialization, validation and scaling strategies

Topics

Financial mechanisms | The enabling environment for digital development | Artificial intelligence

Gaurav Dagaonkar

Speech speed

130 words per minute

Speech length

974 words

Speech time

448 seconds

AI‑powered music‑licensing marketplace linking creators with brands, ensuring legal use

Explanation

Gaurav describes a marketplace that connects artists and brands, using AI (including LLMs) to manage licensing, ensure legal usage, and generate revenue for creators. The platform positions AI as a core layer for content discovery and compliance.

Evidence

“In a nutshell, we are a marketplace, where on one side, the largest labels, the largest artists come and list their songs.” [82]. “And it works in a very, very simple manner where the song gets uploaded on the platform, a brand discovers it, licenses it, and the royalty or the revenue goes to the artist.” [83]. “Over the last couple of years, we now have over 3 lakh of India’s biggest influencers and 220 brands that are licensing music from us.” [84]. “It gives me great pride to say that Hooper is India’s first native, homegrown music licensing platform.” [85]. “We also use LLMs to understand brands and try to create some kind of a fingerprint for every brand.” [91].

Major discussion point

AI commercialization, validation and scaling strategies

Topics

The digital economy | Artificial intelligence

Shubham Tribedi

Speech speed

69 words per minute

Speech length

323 words

Speech time

278 seconds

Coordination of certificate ceremony, acknowledgment of schools, mentors and students

Explanation

Shubham manages the logistics of the certificate ceremony, calling participants forward, arranging chairs, and recognizing schools, mentors, and students. His role ensures that the contributions of all stakeholders are publicly celebrated.

Evidence

“Please come forward.” [17]. “Please come forward quickly.” [23]. “You can also come forward please.” [24]. “Before I call them, to stage, to give them certificates.” [25]. “Everybody please give a chair.” [26]. “Next lot, please, quickly.” [27]. “Yes, please.” [28]. “All those schools after this who are left can come forward, the students as well as the mentors.” [94]. “Yes, after this, all those schools who are left can come over, the students as well as the mentors.” [95]. “Take your certificates and stand You just hold the certificates and take a picture and then why don’t you also come Come come come…” [101]. “These are our star students and you know yeah so Shubham is here to you know felicitate them.” [102].

Major discussion point

Recognition and celebration of participants

Topics

Capacity development | Social and economic development

Agreements

Agreement points

Youth innovation and AI entrepreneurship as drivers of societal change

Speakers

– Adhiraj Chauhan
– Shreenidhi Baliga
– Jaiwardhan Tyagi
– Deepak Bagla
– Sarah Kemp

Arguments

Mental health support platform using AI to address shortage of psychiatrists in India

Sign language to speech and speech to Braille conversion glove for deaf-blind community

AI healthcare solutions addressing distribution shift problems in medical vision language models

India’s youth have the ability to work in unstructured environments and get jobs done regardless of resources

Young technologists have great responsibility to use AI for good and make society better

Summary

All speakers emphasized the transformative potential of young innovators using AI to solve critical societal problems, from healthcare to accessibility, with strong institutional support

Topics

Artificial intelligence | Social and economic development | Capacity development

Importance of Atal Innovation Mission as a foundational ecosystem

Speakers

– Adhiraj Chauhan
– Deepak Bagla
– Sarah Kemp
– Tarunima Prabhakar

Arguments

Mental health support platform using AI to address shortage of psychiatrists in India

Atal Innovation Mission celebrates 10 years as world’s largest grassroots innovation mission

Partnership with Intel has been crucial for training and mentoring students over 10 years

Top 50 AI tinkerpreneurs were selected from 3,500 applications representing innovation across India

Summary

Speakers consistently acknowledged AIM’s critical role in nurturing innovation, providing infrastructure, mentorship, and creating the world’s largest grassroots innovation ecosystem

Topics

The enabling environment for digital development | Capacity development | Social and economic development

India’s unique strengths and potential as an AI leader

Speakers

– Deepak Bagla
– Sarah Kemp

Arguments

India will be the biggest benefactor of AI as a delta multiplier due to its growing population and economic potential

India’s superpower is its people and their ability to make a difference

India is leading the global south in AI development with human-centered approach

Summary

Both speakers emphasized India’s demographic advantages, human capital strength, and leadership potential in AI development with a focus on human welfare

Topics

Artificial intelligence | Social and economic development | Human rights and the ethical dimensions of the information society

AI solutions must address real-world problems with proper implementation

Speakers

– Adhiraj Chauhan
– Shreenidhi Baliga
– Jaiwardhan Tyagi
– Ojaswi Babbar

Arguments

Mental health support platform using AI to address shortage of psychiatrists in India

Sign language to speech and speech to Braille conversion glove for deaf-blind community

AI healthcare solutions addressing distribution shift problems in medical vision language models

AI innovations need domain depth, proprietary data, and infrastructure access to succeed in India

Summary

All speakers emphasized that successful AI innovations must solve genuine problems, have domain expertise, and be properly validated and implemented in real-world scenarios

Topics

Artificial intelligence | Social and economic development | The enabling environment for digital development

Similar viewpoints

All three young innovators focused on using AI to solve healthcare and accessibility challenges, demonstrating a shared commitment to using technology for social impact and addressing underserved populations

Speakers

– Adhiraj Chauhan
– Shreenidhi Baliga
– Jaiwardhan Tyagi

Arguments

Mental health support platform using AI to address shortage of psychiatrists in India

Sign language to speech and speech to Braille conversion glove for deaf-blind community

AI healthcare solutions addressing distribution shift problems in medical vision language models

Topics

Artificial intelligence | Social and economic development | Closing all digital divides

Both emphasized the exceptional capabilities of Indian youth and their responsibility to use their talents for positive societal transformation, highlighting the human element as India’s key advantage

Speakers

– Deepak Bagla
– Sarah Kemp

Arguments

India’s youth have the ability to work in unstructured environments and get jobs done regardless of resources

Young technologists have great responsibility to use AI for good and make society better

Topics

Capacity development | Human rights and the ethical dimensions of the information society | Social and economic development

Both speakers emphasized the importance of proper business frameworks, validation processes, and addressing market gaps with innovative solutions that create sustainable business models

Speakers

– Ojaswi Babbar
– Gaurav Dagaonkar

Arguments

Startups require rapid validation, controlled pilots, and proper revenue models to scale

Hooper created India’s first native music licensing platform using AI for matching music to brands

Topics

The digital economy | The enabling environment for digital development | Artificial intelligence

Unexpected consensus

Human-centered approach to AI development

Speakers

– Sarah Kemp
– Adhiraj Chauhan
– Shreenidhi Baliga
– Jaiwardhan Tyagi

Arguments

India is leading the global south in AI development with human-centered approach

Mental health support platform using AI to address shortage of psychiatrists in India

Sign language to speech and speech to Braille conversion glove for deaf-blind community

AI healthcare solutions addressing distribution shift problems in medical vision language models

Explanation

Unexpected consensus emerged around prioritizing human welfare in AI development, with both institutional leaders and young innovators independently emphasizing this approach, suggesting a mature understanding of AI’s social responsibility

Topics

Human rights and the ethical dimensions of the information society | Artificial intelligence | Social and economic development

Recognition of intellectual property and creator rights in digital economy

Speakers

– Gaurav Dagaonkar
– Sarah Kemp

Arguments

India lacks knowledge about music rights and licensing despite loving music

Young technologists have great responsibility to use AI for good and make society better

Explanation

Unexpected alignment between music industry concerns about creator rights and broader ethical AI development, both emphasizing responsibility and proper attribution in digital innovation

Topics

Human rights and the ethical dimensions of the information society | The digital economy | Artificial intelligence

Overall assessment

Summary

Strong consensus emerged around youth-driven AI innovation for social good, India’s leadership potential in human-centered AI development, the critical role of institutional support through AIM, and the need for responsible, problem-solving approaches to AI implementation

Consensus level

High level of consensus with remarkable alignment between institutional leaders and young innovators on values-driven AI development. This suggests a mature ecosystem where innovation is guided by social responsibility and human welfare, positioning India as a potential leader in ethical AI development globally

Differences

Different viewpoints

Unexpected differences

Overall assessment

Summary

The discussion showed remarkable consensus among all speakers, with no identifiable disagreements on any substantive issues. All speakers aligned on supporting youth innovation, AI development, the importance of the Atal Innovation Mission, and India’s potential as an AI leader.

Disagreement level

No meaningful disagreements were present. This was a celebratory and supportive environment where speakers complemented rather than challenged each other’s viewpoints. The lack of disagreement reflects the nature of the event as a recognition ceremony and showcase rather than a debate or policy discussion. While this consensus was positive for the celebratory atmosphere, it may have limited deeper exploration of challenges, trade-offs, or alternative approaches to AI development and innovation policy.

Partial agreements

Similar viewpoints

All three young innovators focused on using AI to solve healthcare and accessibility challenges, demonstrating a shared commitment to using technology for social impact and addressing underserved populations

Speakers

– Adhiraj Chauhan
– Shreenidhi Baliga
– Jaiwardhan Tyagi

Arguments

Mental health support platform using AI to address shortage of psychiatrists in India

Sign language to speech and speech to Braille conversion glove for deaf-blind community

AI healthcare solutions addressing distribution shift problems in medical vision language models

Topics

Artificial intelligence | Social and economic development | Closing all digital divides

Both emphasized the exceptional capabilities of Indian youth and their responsibility to use their talents for positive societal transformation, highlighting the human element as India’s key advantage

Speakers

– Deepak Bagla
– Sarah Kemp

Arguments

India’s youth have the ability to work in unstructured environments and get jobs done regardless of resources

Young technologists have great responsibility to use AI for good and make society better

Topics

Capacity development | Human rights and the ethical dimensions of the information society | Social and economic development

Both speakers emphasized the importance of proper business frameworks, validation processes, and addressing market gaps with innovative solutions that create sustainable business models

Speakers

– Ojaswi Babbar
– Gaurav Dagaonkar

Arguments

Startups require rapid validation, controlled pilots, and proper revenue models to scale

Hooper created India’s first native music licensing platform using AI for matching music to brands

Topics

The digital economy | The enabling environment for digital development | Artificial intelligence

Takeaways

Key takeaways

India’s youth are demonstrating exceptional innovation capabilities in AI, particularly in addressing societal challenges like mental health, accessibility for deaf-blind communities, and healthcare diagnostics

The Atal Innovation Mission has successfully completed 10 years as the world’s largest grassroots innovation mission, fostering innovation from the ground up

India is positioned to be the biggest beneficiary of AI as a ‘delta multiplier’ due to its large growing population (1.4 to 1.6 billion by 2060) and economic potential

India’s unique strength lies in its people’s ability to work in unstructured environments and get jobs done regardless of available resources

Young technologists bear great responsibility to use AI for societal good and human-centered solutions

Successful AI innovations in India require domain depth, proprietary data, proper revenue models, and access to distribution infrastructure

There is a significant gap in music licensing knowledge in India despite the country’s love for music, creating opportunities for AI-powered solutions

The partnership between government initiatives (Atal Innovation Mission), private sector (Intel), and educational institutions has been crucial for nurturing young innovators

Resolutions and action items

Recognition and certification of top 50 AI tinkerpreneurs selected from 3,500 applications across India

Unveiling of the 10-year Atal Innovation Mission logo and tinkerpreneur compendium

Continued partnership commitment between Atal Innovation Mission and Intel for future innovation support

Felicitation of key contributors including students, mentors, and industry partners

Unresolved issues

How to address the mental health epidemic among youth given the severe shortage of psychiatrists (1 per 100,000 people)

How to scale AI healthcare solutions while addressing distribution shift problems in medical vision language models

How to ensure widespread adoption of accessibility technologies for deaf-blind communities

How to bridge the knowledge gap regarding music licensing rights among content creators and entrepreneurs

How to prepare the current workforce for massive disruption and reskilling needs over the next 10 years

Suggested compromises

Impact

This shifted the tone from celebration to responsibility, adding gravitas to the achievements presented. It connected individual innovations to broader societal impact and established a framework for evaluating success beyond commercial metrics.

Overall assessment

Explanation

This explores the strategic framework needed for Indian AI startups to compete globally while leveraging local strengths like unstructured problem-solving capabilities and distribution access.

Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.