Amazon Product Search Application

An intelligent product search application that combines Amazon's product data with AI-powered query understanding. This application leverages OpenAI's GPT models, Google Search, and Amazon's product data to provide smart, context-aware product searches.

🌟 Features

Smart Search Capabilities

• AI-Powered Query Understanding
  • Natural language query processing
  • Context-aware search enhancement
  • Automatic query refinement
  • Non-product query handling

Product Search

• Amazon Product Integration
  • Real-time product data
  • Price comparison
  • Product details and specifications
  • Related product suggestions

Advanced Features

• Multi-Source Intelligence

  • OpenAI GPT integration
  • Google Search enhancement
  • Amazon product data
  • Smart fallback mechanisms

• User Experience

  • Modern Qt-based GUI
  • Real-time search updates
  • Progress tracking
  • Error handling and recovery

🛠️ Technical Architecture

Components

1. GUI Layer (product_search_gui.py)

   • Qt-based user interface
   • Search input handling
   • Results display
   • Progress updates

2. Search Logic (batch_search.py)

   • Batch processing
   • Result aggregation
   • Error handling

3. API Integration

   • amazon_api_client.py: Amazon product data
   • google_search_client.py: Search enhancement
   • query_validator.py: Query processing

4. Data Management

   • data_store.py: Local data handling
   • Search history tracking
   • Result caching

🚀 Getting Started

Prerequisites

• Python 3.8+
• Qt development environment
• Required API keys (see below)

Installation

1. Clone the Repository

git clone https://github.com/IsaiahDupree/Amazon-Product-Search-Application.git
cd Amazon-Product-Search-Application

2. Install Dependencies

pip install -r requirements.txt

3. Set Up Environment Variables

cp .env.template .env
# Edit .env with your API keys

Required API Keys

• OpenAI API Key: For query understanding

  • Get from: https://platform.openai.com/account/api-keys

• RapidAPI Key: For Amazon product data

  • Get from: https://rapidapi.com/

• Google API Key: For search enhancement

  • Get from: https://console.cloud.google.com/
  • Also need Search Engine ID from: https://programmablesearchengine.google.com/

💻 Usage

Basic Usage

python main.py

Search Types

1. Product Searches

   • Direct product names
   • Product categories
   • Feature-based queries

2. Smart Queries

   • Natural language questions
   • Comparative queries
   • Technical specifications

3. Non-Product Queries

   • Recipe suggestions
   • General information
   • Technical advice

🔧 Development

Project Structure

├── main.py                 # Application entry point
├── product_search_gui.py   # GUI implementation
├── batch_search.py         # Search processing
├── amazon_api_client.py    # Amazon API integration
├── google_search_client.py # Google Search integration
├── query_validator.py      # Query processing
├── data_store.py          # Data management
├── requirements.txt        # Dependencies
└── .env.template          # Environment template

Adding New Features

1. Fork the repository
2. Create a feature branch
3. Implement your changes
4. Add tests if applicable
5. Submit a pull request

🤝 Contributing

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

Guidelines

1. Follow Python PEP 8 style guide
2. Add documentation for new features
3. Maintain test coverage
4. Update README as needed

📝 License

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

🙏 Acknowledgments

• OpenAI for GPT API
• RapidAPI for Amazon Data API
• Google Custom Search API
• Qt framework (PySide6)
• All contributors and users

📞 Support

• Create an issue for bug reports
• Submit feature requests via issues
• Check existing issues before submitting new ones

🔒 Security

• Never commit API keys
• Use .env for sensitive data
• Regular security audits
• Prompt key rotation