Hea Hackathon: “AI in Search of Hidden Health Signals”

A 2-day hybrid hackathon with a €1,000 grand prize where teams (4 members maximum) build an AI/ML prototype that detects early, "weak" health risk signals by analyzing real-world, self-reported data - i.e., everyday inputs described by a person (not medical records). The goal is not just a model, but a product-ready prototype that could be piloted inside Hea. Register below now (one application per team; if you don’t have a team yet, you can send an individual application via this form, and we will help you find one). 📆 Schedule Day 1 (February 14th) - Kickoff & Build ​• 09:00 - Introduction, task briefing, and Q&A ​• 10:00 - Build starts ​• 12:00 - Lunch ​• 14:00 - Checkpoint #1 ​• 19:00 - Checkpoint #2 ​• 21:00 - End of day 1 Day 2 (February 15th) - Finalize & Demonstrate ​• 09:00 - Continue building • 12:00 - Lunch ​• 14:00 - Checkpoint #3 ​• 16:00 - Submission deadline and team presentations (5 min per team) ​• 19:00 - Сlosing Awarding - February 18th ​After considering the solutions, the committee of judges will select the top 5 teams and invite them to the final discussion and awards ceremony. 🤔 What you’ll build Your solution should produce: ​• Context-aware anomaly detection (vs the person’s own baseline, considering life events) ​• Risk scoring + risk category (e.g., metabolic, psycho-emotional, and cardiovascular risk) ​• A safe, empathetic follow-up question that gathers more context without sounding like a diagnosis You’ll submit: ​• Working prototype (Notebook or web-service) of your solution ​• GitHub repo with source code ​• Short team presentation (brief pitch format) Rules & safety: ​• No diagnosing or prescribing treatment (ethics requirement) ​• Open source: at least 80% of code must be publicly available 🤝 Our partners AltaIR CapitalHarbour.SpaceNebius If you have any questions, feel free to reach out to us at n.bogachev@altair.vc Terms & ConditionsThe Science Behind Early Health Signal Detection