Shidrat Hayat: Intelligent Healthcare Without Limits

Inspiration

In many regions, especially rural areas, access to healthcare is not just limited—it is fragile.

Emergency responders often operate without access to critical patient data such as blood type or allergies. Mothers can lose their lives during childbirth due to lack of timely decision support. Doctors lose valuable time during consultations searching through fragmented, paper-based records.

These are not rare failures. They are daily realities.

We built Shidrat Hayat to address one fundamental issue: healthcare systems fail when information is unavailable, unstructured, or inaccessible.

What it does

Shidrat Hayat is an AI-powered healthcare system that works both online and offline, combining:

🧠 Offline clinical triage (P1–P4 severity scoring) for rural areas 📄 Medical data structuring (OCR → structured insights) 🚑 Emergency access mode (critical data in <5 seconds via CIN) 💊 Digital prescriptions to eliminate handwritten errors 🔒 Local AI anonymization for privacy and CNDP compliance 🌐 Delayed synchronization when internet becomes available 🤖 AI-generated patient summaries 👨‍⚕️ Doctor verification via CNOM registry 📚 RAG-based medical assistant for decision support

It transforms fragmented medical information into clear, actionable insights.

How we built it

We designed a Cloud-to-Edge architecture:

Frontend: Next.js (PWA, offline-first) Backend: Fastify (high-performance API) Database: LibSQL (local, embedded, offline-ready) AI Engine: Local triage algorithms + NLP + RAG assistant Security: AES-256 encryption + local anonymization Sync System: Background synchronization when connectivity returns

The system runs directly on edge devices (tablets/laptops), ensuring zero latency and full functionality without internet.

Challenges we ran into

Building a fully offline AI system without relying on cloud APIs Ensuring data security and compliance (CNDP) in low-resource environments Designing a system usable by non-specialized healthcare workers Balancing technical complexity with usability Integrating multiple components (AI, OCR, triage, sync) into a unified system

Accomplishments that we're proud of

✅ Created a fully offline-capable healthcare AI system ✅ Designed a real-time triage engine (P1–P4 classification) ✅ Enabled instant emergency access to patient data ✅ Reduced dependency on handwritten prescriptions ✅ Built a system that can realistically operate in rural environments

What we learned

Technology alone is not enough—accessibility and simplicity are critical Offline-first design is essential for real-world healthcare systems Structuring medical data has a direct impact on decision quality AI is most powerful when it supports, not replaces, human decision-making

What's next for Shidrat Hayat: Intelligent Healthcare Without Limits

🏥 Pilot testing with clinics and rural healthcare workers 🌍 Expansion to include pharmacies and full healthcare ecosystem integration 📊 Advanced predictive analytics for early risk detection 🤝 Partnerships with healthcare institutions and NGOs 📱 Deployment on low-cost devices for large-scale adoption

Built With

• aes-256
• ai
• api
• background
• css
• drizzle
• encryption
• fastify
• libsql
• local
• models
• natural-language-processing
• next.js
• orm
• rag
• service
• speech
• sync
• tailwind
• turborepo
• web
• workers