DataQuest Hackathon
Train. Submit. Compete.
Build a machine learning model, submit it to the automated judge, and climb the leaderboard — all in 10 hours.
10 hoursDuration
2Phases
20 per teamSubmissions
Built for ML competitions
Everything you need to focus on what matters — your model.
Any Framework
scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM — use whatever fits your approach.
Real-Time Scoring
Submit your model and watch the evaluation stream live. Accuracy, size, and latency — scored instantly.
Sandboxed Execution
Every submission runs in an isolated container. Your code, your dependencies, zero interference.
Live Leaderboard
Anonymous rankings that update after every accepted submission. Only you can see your team name.
Two phases, one goal
From raw data to a deployed application in 10 hours.
1
Build Your Model
7 hours- Train on the provided dataset with any Python ML framework
- Implement
preprocess,load_model,predict - Zip & submit — get scored in real time
2
Build Your App
3 hours- Wrap your model in an inference API
- Build a web app frontend around it
- Bonus for MLOps, caching & polished UI/UX
Ready to compete?
Register with the email you used in the signup form. Your team is already waiting.