You're about to be part of something big: a 2-day hackathon where you'll build AI solutions on Databricks, collaborate with brilliant minds, and compete for prizes. This guide has everything you need to hit the ground running. Read it, prep your tools, and come ready to build!

Requirements

  • A public GitHub repo with an architecture diagram showing how Databricks components connect. Must remain public for at least 30 days. README must include: what it does (1-2 sentences), architecture diagram, how to run (exact commands), and demo steps (what to click / what prompt to run).
  • A project write-up: up to 500 characters describing what you built and why.
  • Which Databricks technologies and open-source models you have used.
  • A demo video: up to 2 minutes showing the solution in action.
  • A link to a deployed prototype.

Judges will attempt to reproduce your demo from the GitHub repo. If it doesn't run, it doesn't score.

Optional / Bonus
  • BhashaBench evaluation scores
  • MLflow experiment logs
  • Quantitative accuracy metrics

Hackathon Sponsors

Prizes

₹ 250,000 in prizes
1st Place
₹ 125,000 in cash
1 winner

+ special Databricks swag

2nd Place
₹ 75,000 in cash
1 winner

+ special Databricks swag

3rd Place
₹ 50,000 in cash
1 winner

+ special Databricks swag

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Databricks Team

Databricks Team

Judging Criteria

  • Databricks Usage
  • Accuracy & Effectiveness
  • Innovation
  • Presentation & Demo

Questions? Email the hackathon manager

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