RED-ABUNDANCE

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Inspiration

Thalassemia patients require lifelong blood transfusions, but finding regular donors, accessing timely care, and raising awareness remain huge challenges. Inspired by Blood Warriors and their impactful work, we wanted to build a technology-driven solution that not only simplifies donor-patient matching but also creates a supportive ecosystem for Thalassemia care.

What it does

RED‑ABUNDANCE is an AI-powered, open-source platform designed to:

Predict donor availability using AI models trained on donation patterns.

Match donors to patients in real-time with geo-location–based prioritization.

Gamify donor engagement with milestones, badges, and leaderboards to encourage recurring donations.

Provide a secure communication hub for patients, caregivers, and healthcare providers.

Offer multilingual education & awareness tools through an AI-driven chatbot.

Integrate with existing systems like e-RaktKosh and Blood Warriors’ Blood Bridge.

How we built it

Frontend: Built a React.js Progressive Web App (PWA) for easy access on any device.

Backend: Designed a FastAPI REST backend for high performance and scalability.

Database: Used PostgreSQL (with PostGIS for location-based donor matching).

AI Models:

LSTM-based model for predicting donor availability.

Hugging Face Transformers for multilingual patient education and chatbot support.

Security: Implemented OAuth2 authentication and end-to-end encryption for sensitive data.

Deployment: Containerized with Docker and set up CI/CD pipelines using GitHub Actions.

Challenges we ran into

Data limitations: Lack of clean, extensive donation history for AI model training.

Integration hurdles: Aligning our platform with e-RaktKosh and Blood Bridge APIs.

Balancing UX & security: Making the platform highly secure without compromising on usability.

Time constraints: Building a predictive model and gamification system within the hackathon timeframe.

Accomplishments that we're proud of

Built a working MVP that integrates donor prediction, real-time matching, and gamification.

Designed a multilingual chatbot for patient education and FAQs.

Created a scalable and open-source architecture so other NGOs can adopt or extend our solution.

What we learned

How AI can be applied for social good, especially in healthcare donation ecosystems.

The complexities of integrating with government healthcare APIs.

The importance of user-centric design when working with patients and donors from diverse backgrounds.

What's next for RED-ABUNDANCE

Enhancing AI models with real donation and patient data from NGOs & hospitals.

Scaling to other NGOs and expanding the solution for other chronic conditions needing regular transfusions.

Adding advanced analytics for Blood Warriors to forecast demand and donor availability.

Public launch as an open-source toolkit for any blood bank or NGO to implement.

Built With

• fastapi
• nextjs
• postgresql
• tailwindcss