---
title: IndiScan
emoji: 🔍
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: "1.31.0"
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# IndiScan: Indian Product Health Analyzer 🔍

IndiScan is a comprehensive health analysis tool that helps users make informed decisions about food and cosmetic products by analyzing ingredients, providing health scores, and comparing prices across Indian e-commerce platforms.

## Features 🌟

- **Smart Product Analysis**
  - Barcode scanning
  - Image-based ingredient extraction
  - Manual ingredient entry
  - Health score calculation (0-1000)
  - Ingredient risk assessment
  - Nutrition information analysis

- **Price Comparison**
  - Real-time price tracking across:
    - Amazon India
    - Blinkit
    - Zepto
    - Swiggy Instamart

- **Admin Controls**
  - Product database management
  - CSV import/export
  - 60-day auto-refresh system

## Setup 🛠️

1. Install dependencies:
```bash
pip install -r requirements.txt
```

2. Run the application:
```bash
python app.py
```

The application will start both the backend API (port 8000) and the Streamlit frontend.

## Usage 📱

1. **Scan Products**
   - Enter a barcode number
   - Upload a product image
   - Manually enter ingredients

2. **View Analysis**
   - Health score and explanation
   - Ingredient breakdown
   - Risk categories
   - Nutrition information
   - Price comparison

3. **Admin Features**
   - Login with admin credentials
   - Add/update product information
   - Export/import database
   - Monitor data freshness

## Technology Stack 💻

- **Backend**: FastAPI
- **Frontend**: Streamlit
- **Database**: SQLite
- **Image Processing**: EasyOCR
- **Data Analysis**: Pandas, Plotly
- **Web Scraping**: aiohttp, BeautifulSoup4

## Contributing 🤝

Feel free to contribute to this project by:
1. Forking the repository
2. Creating a feature branch
3. Committing your changes
4. Opening a pull request

## License 📄

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

## Acknowledgments 🙏

- Inspired by the Yuka app
- Uses OpenFoodFacts data
- Built with ❤️ for Indian consumers