​https://luma.com/0vg5y4fc

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).

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