ScanCart is a full-stack retail application that allows users to scan an image of a product and compare prices across different retailers. It leverages the Google Cloud Vision API for product recognition and brand detection, along with a custom web scraping solution to fetch price comparisons from platforms like Amazon and Target.

• 📷 Image Upload & Webcam Capture: Users can upload an image or capture one using their webcam.
• 🧠 Google Cloud Vision API Integration: Extracts product details, labels, and brand information.
• 🔎 Web Scraping for Price Comparison: Retrieves product pricing from retailers like Amazon and Target.
• 📝 AI-Generated Descriptions: Provides product descriptions based on detected features.
• 🎨 User-Friendly Interface: One-page web application with a clean and intuitive UI.

Frontend:

• React.js (with Vite for fast builds)
• Tailwind CSS for styling
• Webcam capture using react-webcam

Backend:

• Flask (Python) for API handling
• Google Cloud Vision API for image processing
• OxyLab Web Scraper API for web scraping
• OpenAI API for text generation

• Node.js & npm installed
• Python 3 installed
• Google Cloud API credentials (for Vision API)

1. Clone the repository:

   git clone https://github.com/your-repo/scancarts.git
   cd ScanCart/frontend
   

2. Install dependencies:

   npm install
   

3. Start the React development server:

   npm start
   

1. Navigate to the backend folder:

   cd backend
   

2. Run Flask server:

   python run.py