AI Solution for Neurodivergent Children Wins DTU Student India’s Top IET Scholarship

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Oct 12, 2026 - 19:00
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AI Solution for Neurodivergent Children Wins DTU Student India’s Top IET Scholarship
“AI Solution for Neurodivergent Children Wins DTU Student India’s Top IET Scholarship”
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12 Oct 2026
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AI Solution for Neurodivergent Children Wins DTU Student India’s Top IET Scholarship

AI Solution for Neurodivergent Children Wins DTU Student India’s Top IET Scholarship

Kush Garg, The 10th IET India Scholarship Award Winner

New Delhi [India], October 12: The 10th IET India Scholarship Award has been won by Delhi Technological University student Kush Garg for an AI-enabled device designed to help neurodivergent children independently navigate everyday situations – from ordering at a café and buying groceries to using public transport and following classroom conversations.

Kush emerged as the National Winner from 48,761 engineering students who applied from across India for this year’s edition of the scholarship programme, following a rigorous multi-stage evaluation spanning academic performance, an online assessment, regional rounds and the National Finals. Kush says, “I’m honoured to have won the IET India Scholarship Award. Beyond the recognition, the experience changed how I approach building things. One of the biggest takeaways for me was the importance of interacting directly with the people affected by the problem, understanding what they actually need, and using their feedback to shape the solution rather than starting with assumptions. The rigorous evaluation rounds and the judges’ feedback pushed me to continuously iterate on my ideas and by the end I was far more invested in the problem itself.”

His winning solution is a compact, AI-enabled IoT device that provides real-time, context-aware assistance to neurodivergent children as they interact with the world around them. Developed in response to the challenge statement ‘Technical Solutions for Integration of Neurodivergent Children into Society’, the device uses sensors and AI to understand factors such as the child’s activities, preferences and challenges, the context of an ongoing interaction, and social cues in the surrounding environment. It can then provide support at the moment it is needed – helping the child better understand, respond to and participate in everyday situations independently.

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