How to Apply for ML Empowerment Build Challenge 2.0 — ₹92,000 Social Good AI Hackathon

Entries are assessed on the strength of the submitted project rather than through interviews or a live pitch round.

• Innovation — how original the idea and the approach are.
• Technical complexity — the depth of machine learning or AI work behind the build.
• Social impact — how convincingly the solution addresses a real social good problem.
• Presentation — how clearly the project is explained in the submission.

The organisers present these as the typical judging criteria. No separate shortlisting rounds, interviews or assessment stages beyond the submission window have been announced.