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.
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
Prizes
₹ 250,000 in prizes
1st Place
1st Place
₹ 125,000 in cash
1 winner
+ special Databricks swag
2nd Place
2nd Place
₹ 75,000 in cash
1 winner
+ special Databricks swag
3rd Place
3rd Place
₹ 50,000 in cash
1 winner
+ special Databricks swag
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Databricks Team
Judging Criteria
-
Databricks Usage
-
Accuracy & Effectiveness
-
Innovation
-
Presentation & Demo
Questions? Email the hackathon manager
Invite others to compete
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