From AI Impact Summit To AI Honours: 16-Year-Old Adhiraj Chauhan Emerges As A Young Voice In Human-Centred AI

What connects an AI platform designed to support mental healthcare, a technology that seeks to model human behaviour, and an unmanned marine vehicle monitoring water quality? For Adhiraj Chauhan, Founder of Delta AI Revolution Pvt Ltd, the answer lies in using artificial intelligence not simply to automate tasks, but to understand complex problems and help people make better-informed decisions.

It is an approach that has taken Chauhan’s work from mental healthcare and behavioural intelligence to environmental monitoring, and increasingly onto some of India’s prominent platforms for AI and innovation. Earlier this year, he was one of only two students selected by NITI Aayog to speak at the AI Impact Summit 2026 in New Delhi, where he presented his work before technology leaders, policymakers and innovators at a gathering attended by senior executives from Google, Microsoft, Meta and OpenAI.

Now, that journey has earned him the Visionary Young Leader in AI & Innovation award at the 18th Outlook Business Awards 2026, recognising a body of work that explores how emerging technologies can be applied to real-world challenges while keeping human expertise at the centre.

Addressing the mental healthcare gap

The most developed expression of that thinking is Delta AI Revolution’s work in mental healthcare, an area where India continues to face a considerable gap between the need for support and access to trained professionals.

The company has developed an AI-assisted platform designed to complement the work of psychiatrists and counsellors through conversational AI, behavioural analytics and structured reporting. It engages users around concerns including anxiety, depression and trauma-related challenges while documenting behavioural and emotional patterns over time.

The premise is that mental health is rarely understood through a single interaction. Changes in mood, behaviour, sleep or emotional responses can become more meaningful when viewed longitudinally. The platform therefore seeks to organise this context in a form that can support professionals in developing a more comprehensive picture.

Drawing on cognitive behavioural therapy methodologies and counselling frameworks, the technology follows a human-in-the-loop approach, with clinical judgement and decision-making remaining with qualified professionals. Clinician oversight, explainability and accountability have been incorporated into its development, particularly important when deploying AI in an area as sensitive as mental health.

Chauhan has collaborated with Dr Sandeep Vohra, former Head of Psychiatry at Max and Apollo Hospitals, bringing clinical expertise into the development process. The platform has also been designed around India’s linguistic and cultural diversity. According to Delta AI Revolution, it has reached more than 20,000 users across seven regional languages.

The venture has received government-backed seed funding under the TIDE 2.0 programme of the Ministry of Electronics and Information Technology (MeitY) to support the development and scaling of its technology.

Modelling human behaviour

Chauhan’s interest in how technology can understand context extends beyond healthcare.

His work on Digital Twins explores whether AI can create adaptive digital representations of individuals through cognitive and behavioural mapping. By bringing together personality frameworks, motivations, behavioural scenarios and decision-making styles, the technology seeks to model how individuals might respond under different circumstances.

Developed with academic input that has included collaboration with a professor from the Wharton School at the University of Pennsylvania, the project explores potential applications across healthcare, productivity, enterprise decision-making, consumer technology and market research.

But modelling human behaviour also raises questions that conventional predictive technologies may not encounter to the same degree. Who controls such data? How should consent work? What happens when an algorithm incorrectly predicts behaviour? And how can individual autonomy be protected?

Privacy-conscious modelling, explainability, bias and responsible governance have therefore formed part of the development approach.

“The more powerful AI becomes, the more important it is to be clear about what we are building it for,” says Chauhan. “For me, the goal is not to remove people from important decisions, but to give them better information, deeper context and tools that can help them make those decisions more effectively.”

From human behaviour to India’s waterways

A third strand of Chauhan’s work demonstrates a very different application of intelligent systems.

He has developed an AI-enabled unmanned marine vehicle for real-time water-quality monitoring, designed to gather environmental data autonomously. Its core technology has been the subject of a patent filing and licensed externally for commercial development.

Related work has explored the use of autonomous systems for river monitoring in India, with the potential to complement periodic sampling with more continuous, data-driven observation.

While an AI-assisted mental health platform, behavioural Digital Twins and an unmanned marine vehicle may appear to have little in common, they illustrate the breadth of problems to which Chauhan is applying emerging technologies: understanding patterns, generating better information and using that intelligence to support real-world decisions.

The work has earned him recognition across India’s innovation ecosystem. Alongside his NITI Aayog selection and the Visionary Young Leader Award in AI & Innovation at the Outlook Business Awards 2026, Chauhan was recently named Young AI Entrepreneur of the Year at the BW Businessworld Chief Data & AI Officer Awards 2026.

For Chauhan, however, the larger opportunity lies in where AI goes next. As increasingly sophisticated capabilities become accessible to a wider generation of builders, the challenge will not simply be developing systems that can do more, but ensuring they remain useful, accountable and grounded in the problems they are intended to solve.

Across healthcare, behavioural intelligence and environmental monitoring, that is the question connecting Chauhan’s seemingly different pursuits: how can increasingly powerful technology expand human capability without losing sight of the people—and purposes—it is meant to serve?