A barcode scanning app that analyzes food products for healthiness, ingredients, and allergens using AI-powered analysis.

• Barcode Scanning: Scan product barcodes using your device's camera
• Health Score Analysis: Get an instant health score based on ingredients
• Ingredient Analysis: Detailed breakdown of ingredients with quality ratings
• Allergen Detection: Identify potential allergens in products
• AI-Powered Insights: Smart analysis of ingredients and their health impacts

• Frontend: Next.js, TypeScript, Tailwind CSS
• AI: OpenAI API for ingredient analysis
• Barcode: ZXing library for barcode scanning

1. Clone the repository:

   git clone [email protected]:rahatchoudery/smart-aisle.git

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env.local file with:

   OPENAI_API_KEY=your_openai_key
   

4. Run the development server:

   npm run dev

5. Open http://localhost:3000 in your browser

• /app - Next.js application routes and pages
• /components - Reusable UI components
• /services - API services and data processing
• /public - Static assets

Contributions are welcome! Please feel free to submit a Pull Request.

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