MediVault
Digilocker for Medical Records
The problem MediVault solves
MediVault fixes India’s fragmented healthcare by giving patients full ownership of their medical records and instant QR-based access for providers, secured by blockchain. Its AI — Health Time Machine and Intelligent Medical Analysis — creates visual future-health trajectories and automatically analyzes documents to spot patterns clinicians might miss, enabling earlier disease prediction, preventing medical errors, and providing critical information during emergencies.
Challenges we ran into
While building MediVault, we ran into quite a few hurdles. Deploying the smart contracts gave us constant errors due to mismatched data types, and at one point, the blockchain wouldn’t even let us store or retrieve records. On the frontend, connecting the UI with the backend was tricky — data refused to render because of CORS issues, which left MediVault looking completely blank until we debugged and fixed the configuration. The biggest challenge, however, came during AI integration. The model outputs weren’t structured in the format our blockchain required, which caused conflicts and broke the flow. To solve this, we built a lightweight middleware to reformat outputs before sending them into the chain. Most of these fixes had to be done under strict time pressure, which made the debugging process even tougher. We relied on Postman and step-by-step logging to isolate problems, tested modules separately, and simplified our approach whenever things broke. The experience taught us the importance of modular debugging, teamwork, and keeping calm under pressure. And of course, coffee kept us alive through those long 7 PM to 11 AM stretches
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