AI-powered mobile app for analyzing food nutrition through image recognition and OCR technology.

NOGA helps users make informed dietary choices by scanning food packaging labels and providing instant health analysis with personalized recommendations.

Favorite Winner — Arkavidia 9.0 Hackathon (Bandung) | National

NOGA was recognized as Favorite Winner at Arkavidia 9.0 Hackathon, a national-level hackathon held in Bandung.

Mobile App (React Native)
    ↓
Backend API (Node.js)
    ↓
AI Service (Python + Gemini AI)

• 📸 Image-based ingredient extraction
• 🔬 Nutrition facts OCR
• 🤖 AI health summaries
• ⚠️ Preservative detection
• ✅ Auto typo correction

npm install
npm start

npm install
npm run dev

pip install -r requirements.txt
python main.py

All services deployed on Railway:

• Backend: https://noga-be-production.up.railway.app/
• AI: https://noga-ai-production.up.railway.app/

Backend

DATABASE_URL=mysql://user:pass@host:port/db
PORT=3000

AI Service

DB_HOST=host
DB_USER=user
DB_PASSWORD=pass
GOOGLE_API_KEY=your_key

Mobile

EXPO_PUBLIC_API_URL=https://your-backend-url/
EXPO_PUBLIC_AI_URL=https://your-ai-url/

ocr_table

• sessionid - Unique session ID
• status - Processing status
• ingredients - JSON ingredients data
• nutrition_info - JSON nutrition data

docker build -t noga-backend .
docker run -p 3000:3000 --env-file .env noga-backend