NeuraMed
Clinical AI Diagnostic Intelligence
Overview
A full-stack clinical AI diagnostic platform built to democratize access to medical intelligence. It deploys three specialized AI agents - a Voice Diagnosis engine, a Medical Imaging system, and an OCR Report Intelligence layer - serving both physicians and patients through role-based access.
The Problem
800 million people in India lack meaningful access to preliminary medical guidance. Doctor-to-patient ratio stands at 1:25,000 vs WHO recommended 1:1,000. Misdiagnosis rate: 60%. 125,000+ preventable deaths annually from polypharmacy errors and fragmented paper records.
The Solution
NeuraMed puts a board-certified-grade AI diagnostic engine in anyone's browser. Three specialized agents deliver ICD-10 coded diagnoses, ACR-classified imaging reports, and actionable treatment pathways - in English and eight Indian languages.
Project Walkthrough
Agent Architecture
Voice Diagnosis Agent
Medical Imaging AI
OCR Medical Document Agent
System Architecture
Technology Stack
client
- React 18
- TypeScript
- Tailwind
- Vercel CDN
server
- FastAPI (Async)
- Render Backend
- Python
ai
- Groq LPU
- Meta LLaMA 3 70B
- ElevenLabs API
- OpenCV / Tesseract
data
- PostgreSQL (Relational)
- SQLAlchemy ORM
- WebSocket Broadcast
Key Features
Real-time WebSocket sync for live diagnostic feeds
PBKDF2 secured authentication with role-based access
Live urgency heatmap and clinical metrics dashboard
Voice-to-clinical-code pipeline with 92% confidence
Multilingual voice processing in 8+ Indian languages
End-to-end latency under 3 seconds across all agents
Screenshots
