Inspiration I had been thinking about building something to help with healthcare challenges in India, but it was just a vague idea. Last year, I witnessed a family desperately calling dozens of blood banks across Delhi for their seven-year-old daughter with aplastic anemia. Despite willing donors existing somewhere, a child was suffering because our systems couldn't connect them fast enough. When I saw the AI for Good hackathon's focus on Thalassemia support, it clicked—this wasn't just about one condition, but fixing blood accessibility for all patients who depend on transfusions to survive.
What it does BloodCare is an AI-driven, real-time platform that connects patients with compatible donors, predicts donor availability, and integrates seamlessly with national systems like e-RaktKosh. It transforms fragmented blood donation systems into a unified network that ensures no patient waits for life-saving blood transfusions.
How we built it We developed BloodCare's prototype by integrating with e-RaktKosh and building predictive models for donor availability. The platform uses AI to match patients with compatible donors while maintaining strict data security protocols. We focused on creating an interface simple enough for panicked families yet sophisticated enough for hospitals and NGOs to rely on.
Challenges we ran into We tackled problems we'd never imagined: protecting sensitive medical data with robust encryption, predicting donor availability from incomplete and sparse datasets, and designing a system that remains accessible under stress while being powerful enough for healthcare institutions.
Accomplishments that we're proud of We built more than just technology—we created a potential lifeline. Every algorithm works in crucial moments when seconds matter, and we successfully integrated with existing national healthcare infrastructure while maintaining the human touch that this sensitive domain requires.
What we learned Building for healthcare goes beyond technology—it demands trust, empathy, and life-or-death precision. We learned that technology alone isn't enough; we needed to build something that felt human, even when powered by AI.
What's next for BloodCare – AI-Driven Smart Blood Donation & Support System We're working to scale BloodCare to prevent families from going through the desperate searches we witnessed. Our goal is to expand nationwide, ensuring every patient who depends on regular transfusions has immediate access to compatible donors when they need it most.
Built With
- 2.0
- aes
- and-aes-encryption.-the-platform-integrates-with-e-raktkosh-through-rest-apis-and-was-developed-using-github
- and-cosmos-db.-we-used-mongodb-and-firebase-for-data-storage-and-authentication
- api
- app
- azure
- azure-functions
- business
- cosmos
- db
- developed-using-tensorflow-and-scikit-learn
- e-raktkosh
- encryption
- fastapi
- figma
- firebase
- functions
- github
- help-predict-donor-availability-and-prioritize-emergencies.-the-system-is-hosted-on-microsoft-azure
- jwt
- leveraging-app-services
- microsoft
- mongodb
- next.js
- oauth
- postgresql
- postman
- react.js
- scikit-learn
- services
- tensorflow
- while-communication-and-alerts-are-handled-via-the-whatsapp-business-api.-data-security-is-ensured-through-oauth-2.0
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