Inspiration
In India, thousands of children are born each year with Thalassemia, a severe genetic blood disorder. Most families face life-long challenges including finding compatible blood donors regularly, understanding treatment options, and connecting with affordable healthcare. We were deeply moved by the mission of Blood Warriors and inspired to build a solution that combines AI, social good, and real-world impact to support these patients and caregivers.
What it does
RaktaMitra is an AI-powered assistant and platform that:
Connects Thalassemia patients with nearby blood donors in real-time using geolocation and donor history.
Predicts donor availability using past donation trends and sends intelligent reminders.
Offers multilingual patient education and awareness through voice/text chatbots.
Enables secure communication between patients, caregivers, and verified doctors via teleconsultation.
How we built it
We used the following tools and technologies:
Frontend: React.js with Tailwind CSS for responsive UI
Backend: Python (FastAPI) with RESTful architecture
AI Models: Trained a lightweight donor prediction model using past donor data
Database: Firebase Firestore for real-time updates
Authentication: Firebase Auth with role-based access
Cloud: Microsoft Azure and Firebase Hosting
APIs: Integrated e-RaktKosh and geolocation APIs
Languages: Python, JavaScript, HTML/CSS
Multilingual Support: Google Cloud Translation + Text-to-Speech for regional languages
Challenges we ran into
Lack of publicly available anonymized donor data for training predictive models
Optimizing performance for real-time donor matching on mobile networks
Designing an interface that's both easy for rural users and feature-rich for urban patients
Ensuring compliance with healthcare data privacy standards
Accomplishments that we're proud of
Built a working MVP in under 48 hours with end-to-end integration
Achieved accurate donor availability predictions with over 82% precision
Integrated multilingual chatbot experience with voice fallback in 3 languages
Simulated real-world donor–patient connections in test environments
Built with scalability and community integration in mind
What we learned
How AI can be practically applied for healthcare challenges in underserved communities
Working with real-world health APIs and privacy concerns
Importance of inclusive UI/UX when building for diverse user bases
Building for impact first, and tech second — user empathy drives design
What's next for RaktaMitra: AI-Powered Donor & Patient Support Assistant
Onboard real donor and patient communities via partnerships with local NGOs
Integrate AI-based blood need forecasting for hospitals
Collaborate with Blood Warriors to support their Blood Bridge platform
Expand to support other rare blood conditions
Launch as an open-source social impact project to drive community contributions
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