MedScan revolutionizes healthcare management by combining artificial intelligence, multilingual support, and intuitive design to make medical information accessible to everyone.

Node.js 18+ • npm/yarn • Google Cloud Account • Pinecone Account

git clone https://github.com/yourusername/medscan-phase1.git
cd medscan-phase1
npm install

Create .env.local with your API keys:

# AI & ML Services
GEMINI_API_KEY=your_google_gemini_api_key
HF_TOKEN=your_huggingface_token
SARVAM_API_KEY=your_sarvam_ai_key

# Vector Database
PINECONE_API_KEY=your_pinecone_api_key

# Authentication
NEXTAUTH_SECRET=your_nextauth_secret
GOOGLE_CLIENT_ID=your_google_oauth_client_id
GOOGLE_CLIENT_SECRET=your_google_oauth_client_secret
NEXTAUTH_URL=http://localhost:3000

# Database
DATABASE_URL=your_database_connection_string

npm run dev

Visit http://localhost:3000 and start exploring! 🎉

graph TB
    A[User Interface] --> B[Next.js Frontend]
    B --> C[API Routes]
    C --> D[Google Gemini AI]
    C --> E[Pinecone Vector DB]
    C --> F[Sarvam AI TTS/STT]
    C --> G[Google Calendar API]
    B --> H[Prisma ORM]
    H --> I[Database]
    
    style A fill:#e1f5fe
    style D fill:#f3e5f5
    style E fill:#e8f5e8
    style F fill:#fff3e0

• AI-Powered OCR: Extract text from medical reports with 99%+ accuracy
• Semantic Understanding: Context-aware analysis of medical terminology
• Multi-format Support: PDF, JPG, PNG, and more
• Instant Insights: Get summaries and key findings in seconds

• 10+ Indian Languages: Telugu, Hindi, Tamil, Bengali, Marathi, Gujarati, and more
• Natural Conversations: Ask questions naturally, get human-like responses
• Medical Context: AI understands medical terminology across languages
• Accessibility First: Perfect for users who prefer voice interaction

• Interactive Dashboards: Beautiful charts showing health trends
• Smart Reminders: Never miss medications or appointments
• Data Visualization: Transform complex medical data into insights
• Export Options: Download reports and share with healthcare providers

• HIPAA Compliant: Your health data stays secure
• Local Processing: Sensitive data processed locally when possible
• Encrypted Storage: All data encrypted at rest and in transit
• User Control: You own and control your health information

• Advanced Analytics: Predictive health insights
• Telemedicine Integration: Video consultations
• Wearable Device Support: Fitbit, Apple Watch integration
• Pharmacy Integration: Direct prescription fulfillment
• Multi-tenant Architecture: Hospital-wide deployments

• AI Diagnosis Assistance: Preliminary diagnosis suggestions
• Blockchain Health Records: Decentralized health data
• IoT Medical Devices: Smart device integration
• Global Language Support: Expand beyond Indian languages

We welcome contributions from the healthcare and tech community!

• 🐛 Bug Reports: Found an issue? Let us know!
• 💡 Feature Requests: Have an idea? We'd love to hear it!
• 🔧 Code Contributions: Submit pull requests
• 📚 Documentation: Help improve our docs
• 🌍 Translations: Add support for more languages

# Fork the repository
git clone https://github.com/yourusername/medscan-phase1.git

# Create a feature branch
git checkout -b feature/amazing-feature

# Make your changes and commit
git commit -m "Add amazing feature"

# Push to your fork and submit a pull request
git push origin feature/amazing-feature

This project is licensed under the MIT License - see the LICENSE file for details.

• Google Gemini AI for powerful language understanding
• Sarvam AI for exceptional Indian language TTS/STT
• Pinecone for lightning-fast vector search
• Vercel for seamless deployment
• Open Source Community for inspiration and support