TrustChecker 🛡️

An AI-powered website content verification system that analyzes web pages and determines if they match their expected content description.

Features 🌟

• URL validation and web scraping
• AI-powered content analysis using GPT-4
• Trust score calculation (0-100%)
• Detailed content analysis and matching

Prerequisites 📋

• Python 3.8+
• OpenAI API key

Installation 🚀

1. Clone the repository:

git clone https://github.com/codewithdark-git/TrustChecker.git
cd TrustChecker

2. Install dependencies:

pip install -r requirements.txt

3. Configure environment variables:
   • Rename .env.example to .env
   • Add your OpenAI API key to the .env file:

     OPENAI_API_KEY=your_api_key_here
     

Running the Application 🏃‍♂️

Start the FastAPI server:

uvicorn app.main:app --reload

The API will be available at http://localhost:8000

API Endpoints 🔌

POST /analyze/

Analyzes a website's content and compares it with the expected description.

Request Body:

{
  "url": "https://example.com",
  "expected_description": "An educational website about physics"
}

Response:

{
  "url": "https://example.com",
  "title": "Example - Learn Physics",
  "match_score": 85,
  "analysis": "The website content largely aligns with the description..."
}

API Documentation 📚

• Interactive API docs (Swagger UI): http://localhost:8000/docs
• Alternative API docs (ReDoc): http://localhost:8000/redoc

Error Handling ⚠️

The API includes comprehensive error handling for:

• Invalid URLs
• Unreachable websites
• Scraping failures
• AI analysis errors

License 📄

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