MediScan AI is a cross-platform digital healthcare system designed to solve the rural healthcare accessibility gap in India. It enables users to analyze symptoms, store medical records securely, receive AI-powered medical interpretation, and access emergency support—all from a web or mobile interface.
🚀 Project Overview
🌍 The Problem
Rural India suffers from major healthcare challenges:
- Late disease diagnosis due to lack of early screening.
- Severe shortage of medical experts.
- No centralized medical record system.
- High medical repeat testing due to lost documents.
More than 600 million rural citizens face difficulty retaining medical documents, accessing doctors, or understanding diagnoses.
💡 The Solution
MediScan AI is a unified health platform providing:
- AI-powered symptom analysis
- Digital medical storage vault (DigiLocker-style)
- Medical report interpretation using OCR + ML
- Regional language support
- OTP-based authentication for low-tech accessibility
- Cross-device sync with secure cloud storage
Key Features
- Smart Symptom Analyzer
- Tap-based body map selection
- Voice input in 8 Indian languages
- AI triage with urgency levels
- Digital Medical Vault
- Secure PDF upload & cloud storage
- OCR extraction for searchable text
- Share reports with QR links
- AI Medical Interpreter
- X-ray and blood report analysis
- Trend tracking & anomaly detection
- Visual graphs via Chart.js
- Multi-Lingual Health Assistant
- Medical Q&A in multiple regional languages
- Medication reminders
- Personalized preventive guidance
- Emergency Network
- Critical alert detection
- Nearby hospital availability
- Auto-SMS with user location
- Personal Health Dashboard
- Health score tracking
- Timeline visualization
- Historical reports & predictions
Tech Stack
Frontend React.js (PWA)** React Native (Mobile)** Redux Toolkit Chart.js Framer Motion (Animations)
Backend & AI/ML Python FastAPI TensorFlow Lite PyTorch Google Cloud Vision OCR
Storage & Infrastructure PostgreSQL AWS S3 Redis SQLite (Offline mobile support)
Authentication & Security Twilio OTP JWT Tokens AES Encryption Firebase Auth (sync)
Project Structure
/client
/src
/components
/screens
/redux
/api
App.js
/server
/ml-models
/routes
/controllers
/db
main.py
Installation & Setup
- Clone the Repository
git clone https://github.com/your-username/Mediscan-AI.git
cd Mediscan-AI- Frontend Setup
cd client
npm install
npm startRuns locally on http://localhost:3000
- Backend Setup
cd server
pip install -r requirements.txt
python main.pyBackend will run on http://localhost:8000
How Users Experience MediScan AI
- Login with mobile number
- Upload medical reports or enter symptoms
- AI analyzes reports and provides interpretation
- Users can:
- View trends
- Share reports
- Store documents permanently
- Trigger emergency alerts
Security & Privacy
- All medical files encrypted (AES-256)
- JWT-based session protection
- Private cloud storage
- No data shared with third parties
Future Improvements
- Telemedicine live consultations via WebRTC
- Expansion to 15+ Indian languages
- Integration with NDHM
- Hospital onboard APIs
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you’d like to modify.
License
This project is released under the MIT License.
⭐ Support
If you found this project helpful, consider:
- Starring the repo ⭐
- Sharing it with your team
- Contributing to development
MediScan AI – Empowering Digital Healthcare for Everyone**