AISEHack
Are you ready to turn code into climate action?
As part of the contests track of the MAHA AI for Science and Engineering Mission, the Anusandhan National Research Foundation (ANRF) invites you to AISEHack, a national AI for Science and Engineering Hackathon.
In coordination with IBM and IIT Delhi
Safeguard Our Future
As part of the contests track of the MAHA AI for Science and Engineering Mission, the Anusandhan National Research Foundation (ANRF) invites you to AISEHack, a national AI for Science and Engineering Hackathon.
Co-organised by IBM and IIT Delhi, AISEHack 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 Climate and Sustainability. 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.
Real-World Impact
Work on critical challenges contributed by global leaders like IBM and IIT Delhi. Build high-impact solutions for Climate and Sustainability.
Elite Networking
Finalists will head to IIIT Hyderabad for an intensive offline finale, connecting with top researchers and industry pioneers.
The Kaggle Arena
Battle it out on the world’s most renowned data science platform. Registered participants get exclusive access.
Viksit Bharat 2047
Contribute to the national vision of a self-reliant, technologically advanced India by safeguarding our future.
Event Schedule
Registration Open
Secure your spot! Applications are now open for India's premier Climate AI hackathon. Join us in building for impact.
Online Qualifier
Phase 1: Kaggle-style competition. Solve a real-world problem and submit your best models.
Shortlist Announcement
Top performing teams will be selected and invited for the offline finale.
Grand Finale
Phase 2: Offline hackathon at IIIT Hyderabad. 48-hour sprint to build and showcase your final solution.
Challenge Themes
Two high-stakes themes to build high-impact solutions.
Theme 1: Flood Detection
In coordination with IBM
Leverage remote sensing and geospatial data to build robust AI models that can detect and predict flood-prone areas, saving lives and infrastructure.
Theme 2: Pollution Prediction
In coordination with IIT Delhi
Tackle urban air quality by developing physics/operator based deep learning models to forecast pollution levels, enabling smarter city planning and public health interventions.
FAQ
Everything you need to know about AISEHack 2026
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