"From Detection to Prevention" - Catch cancer before it starts.

Mira uses AI to analyze medical images and patient data to provide early cancer risk assessments, empowering patients and healthcare providers with actionable insights.

• Chest X-Ray Screening - DenseNet121 deep learning model for lung abnormality detection
• Mammography Analysis - Breast cancer screening with ML models
• Multi-Model Consensus - Results from multiple AI models for better accuracy

• Paste any medical report (blood tests, imaging, biopsy)
• AI translates medical jargon into plain English
• Personalized recommendations and questions to ask your doctor

• Track screening results over time
• Visual timeline of risk changes
• Detect patterns and trends early

• Family history analysis
• Genetic marker screening (BRCA, etc.)
• Lifestyle factors evaluation

• Clean, modern interface
• Detailed but understandable results
• Downloadable reports for healthcare providers

POST /auth/signup     - Create account
POST /auth/login       - Login

POST /screening/xray              - Chest X-ray analysis (DenseNet121)
POST /screening/mammography     - Mammogram analysis
POST /screening/report-analyze   - Text report AI analysis (GPT-4o)
POST /screening/risk-assessment  - Comprehensive risk scoring
POST /screening/longitudinal-track - Track changes over time

GET  /screening/history         - Get user's screening history
GET  /                           - API info

• Node.js 20+
• Python 3.11+
• PostgreSQL database (optional for demo)

# Clone the repo
git clone <repo-url>
cd backend

# Install dependencies
npm install

# Set up environment
cp .env.example .env
# Edit .env with your API keys (OpenAI, DATABASE_URL, etc.)

# Generate Prisma client
npx prisma generate

# Start development server
npm run dev

# Terminal 1: Start ML service (port 5000)
cd ml-model
python app.py

# The service handles both X-ray and mammography

cd frontend
npm run build
# Deploy to Vercel
npx vercel deploy

DATABASE_URL=postgresql://...
OPENAI_API_KEY=sk-...
PORT=3000
ML_SERVICE_URL=http://localhost:5000

{
  "hasAbnormality": false,
  "confidence": 0.85,
  "findings": [
    { "type": "Normal", "severity": "normal", "probability": 78.5 }
  ],
  "recommendation": "No significant abnormalities detected"
}

{
  "summary": "Your blood test results show all values within normal ranges...",
  "findings": [
    { "term": "Hemoglobin", "explanation": "Protein in blood that carries oxygen - your level is healthy", "severity": "normal" }
  ],
  "recommendations": ["Continue maintaining a balanced diet", "Regular exercise"],
  "questionsForDoctor": ["Should I be concerned about my iron levels?"]
}

This is an AI-powered screening tool for informational purposes only. It is NOT a medical diagnosis. Always consult with qualified healthcare professionals for proper medical advice.

1. Multi-Model AI - DenseNet121, ResNet-50, EfficientNet for consensus
2. GPT-4o Integration - Plain English medical report analysis
3. Longitudinal Tracking - Unique prevention-focused feature
4. End-to-End Pipeline - From image upload to actionable insights
5. Production-Ready - Deployed on Fly.io + Vercel

MIT License

Built with ❤️ for Hackathon 2026