JeevaNadi

Inspiration

Thalassemia is a lifelong condition that affects thousands in India. Patients face constant challenges—finding blood donors, managing medications, interpreting lab reports, staying in touch with doctors, and even accessing care in rural areas where smartphones or internet access are limited.

We were inspired by a simple truth: People don’t need more apps — they need more access. JeevaNadi is our answer: a real-time, AI-powered healthcare companion that provides support via voice, WhatsApp, or app, even in low-tech environments. It’s care that works online and offline — just like it should.

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How We Built It

We designed JeevaNadi as a multi-agent AI system with modular features for accessibility, reliability, and personalization.

Key Functionalities: • Missed call and WhatsApp entry points to access the AI assistant • Blood donor prediction engine with camp coordination • Doctor escalation via voice call and WhatsApp auto-summary • Emergency poster generator using text-to-image automation • Smartwatch sync and vitals monitoring with alert logic • Medical report parser and explainer in simple language • Meal and medication planner personalized to condition • Optional companion app for full history and customization

All core services are modular and accessible even without installing the app.

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Challenges We Faced • Designing for offline and low-literacy environments • Building context-aware voice agents in local languages • Integrating and syncing live data from wearables • Ensuring privacy in AI-driven health automation • Avoiding over-dependence on expensive APIs — solved by planning a custom, domain-specific AI model trained on Indian healthcare needs

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What We Learned • AI in healthcare must prioritize accessibility, not just intelligence • Real-world users need reliability more than features • A low-tech entry point like a missed call can outperform a complex app • It is possible to bridge modern tech with traditional access channels