AISEHack
Are you ready to turn code into an explorer of the macro and micro?
The Anusandhan National Research Foundation (ANRF) invites you to AISEHack 2.0, India's premier research hackathon at the intersection of Artificial Intelligence, Science, and Engineering.
In coordination with Galaxeye and IIT Madras
Total Prize Pool
Up for grabs for the winning teams
From Polymers to Galaxies
The Anusandhan National Research Foundation (ANRF) invites you to AISEHack, India’s premier research hackathon at the intersection of Artificial Intelligence, Science, and Engineering. This isn’t just a coding competition; it’s a mission to safeguard our future.
As we face unprecedented environmental shifts, we are calling on the brightest minds — the researchers, the engineers, and the AI enthusiasts — to build high-impact solutions for Polymer and Space & Remote Sensing.
Whether you are passionate about earth sciences, remote sensing, geospatial foundation models, predictive modeling or deep neural operators, AISEHack provides the platform, the data, and the community to make your mark. This hackathon is in coordination with Galaxeye and IIT Madras.
Real-World Impact
Work on critical challenges contributed by global leaders like Galaxeye and IIT Madras. Build high-impact solutions for Polymers and Space.
Elite Networking
Finalists head to an intensive offline finale, connecting with top researchers, founders and industry pioneers.
The Kaggle Arena
Battle it out on the world’s most renowned data science platform. Registered participants get exclusive private competition invites.
Viksit Bharat 2047
Contribute to the national vision of a self-reliant, technologically advanced India by pushing the frontier of AI for Science.
Event Schedule
Registration Open
Complete the registration form to express your interest. Only registered participants receive Kaggle competition invites — accurate email is essential.
Phase 1: Online Qualifier
Battle on the private Kaggle competition. Submit your best models across the Remote Sensing and Polymer tracks.
Phase 1 Shortlist
Top performing teams from Phase 1 are announced via email and the official website, advancing to Phase 2.
Phase 2: Online Qualifier
A second online sprint on Kaggle. Refine, generalise and stress-test your models against tougher tasks.
Phase 2 Shortlist
Finalists are announced. Problem statement and data for the Grand Finale are released the same week.
Phase 3: Grand Finale
3-day offline sprint in Goa. Finalists are sponsored to attend, working alongside researchers from Galaxeye and IIT Madras.
Competition Tracks
Two high-stakes tracks. One mission: AI for science and engineering research.
Theme 1: Remote Sensing & Yield Prediction
Contributed by Galaxeye
Leverage remote sensing and geospatial data to build robust AI models that can detect crop patterns and predict yields at scale — unlocking insights for food security and a changing climate.
Theme 2: Polymer Property Prediction
Contributed by IIT Madras
Better batteries, energy storage, materials and drugs all depend on the right set of polymers. Enable this by developing physics / operator based deep learning models for polymer property prediction.
Kaggle competition links are accessible only once you have completed registration. Invites are sent to your registered email — keep it accurate.
Competition Rules
Read these carefully — non-compliance will result in disqualification.
Stay Updated
Follow ANRF India on LinkedIn for regular competition updates, announcements, clarifications, and important deadlines.
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Everything you need to know about AISEHack — 2nd Edition
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