Inspiration
The daily struggle of Thalassemia and their families to find a regular, reliable supply of blood is immense. Our inspiration came from wanting to solve this dual challenge: not only the logistical problem of connecting donors but also the accessibility problem, ensuring that anyone, with or without a smartphone, can be part of this life-saving network in India.
What it does
RAKTARPAN is a hybrid, AI-powered platform designed to create a reliable community of blood donors for Thalassemia patients.
- Connects patients in need with nearby, eligible donors in real-time.
- Provides universal access through two channels: a simple IVR phone helpline for non-tech users and a user-friendly mobile app.
- Uses AI to predict blood demand in specific areas and to identify donors who are most likely to be available, preventing "donor fatigue."
- Encourages recurring donations through a meaningful recognition program that honors donors as "life-savers."
How we built it
We designed the architecture for RAKTARPAN using a modern, scalable tech stack.
- Platform: Python (Django) backend for robust logic and a React Native mobile app for cross-platform reach.
- AI Engine: Designed with Scikit-learn & XGBoost for predictive donor availability and demand forecasting.
- Accessibility: Twilio for the multi-lingual IVR helpline and real-time SMS alerts.
- Database: PostgreSQL to securely manage sensitive patient and donor data.
Challenges we ran into
- Designing for Inclusion: The biggest challenge was creating a system that didn't exclude people with feature phones. Our solution was the hybrid IVR-app architecture, which ensures universal access.
- The AI Cold Start: We had to strategize how the platform could be useful from day one, before having enough data for the AI. This led to our phased rollout plan, starting with a rule-based MVP.
- Meaningful Engagement: Moving beyond simple "gamification" to design a truly respectful and culturally resonant recognition program was a key focus.
Accomplishments that we're proud of
- The Hybrid Model: We are incredibly proud of the dual IVR and App concept. It's a solution built with empathy, ensuring no one is left behind.
- Human-Centric AI: Designing an AI that respects donors' time by predicting availability, rather than just sending mass notifications.
- A Strong Identity: Creating the name and theme of "Raktarpan," which reframes the act of donation as a sacred, selfless offering, deeply honouring the donor.
What we learned
- For social impact projects, accessibility isn't an optional feature—it's the foundation.
- The most effective technology is built on a deep understanding of human emotion, trust, and community.
- A phased approach is critical for building complex systems, allowing for value delivery and data collection long before the final vision is complete.
What's next for RAKTARPAN
Our vision is a phased, sustainable rollout to ensure long-term success.
- Phase 1 (MVP Launch): Deploy the core rule-based platform (IVR & App) in a pilot region to onboard users and gathering foundational data.
- Phase 2 (AI Development): Build and validate our predictive models using the data from the pilot, running them in a "shadow mode."
- Phase 3 (Intelligent Scaling): Integrate the validated AI engine to power smart features and begin expanding RAKTARPAN's operations across new regions.
Built With
- ai
- ml
- python
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