🔍 FactChecker

A powerful browser-based fact-checking tool that helps users verify information in real-time.

🌟 Features

• Real-time Fact Checking: Analyze statements directly from web pages
• Browser Extension: Seamless integration with your browsing experience
• AI-Powered Analysis: Utilizes advanced NLP for accurate fact verification
• User-Friendly Interface: Clean, modern Next.js frontend
• Privacy-Focused: Local processing capabilities using Ollama

🏗️ Architecture

The project consists of three main components:

1. Browser Extension (./client)

• Chrome/Firefox compatible extension
• Real-time content analysis
• Sentence tokenization
• OAuth authentication

2. Backend Server (./server)

• Fast and efficient fact-checking server
• DuckDuckGo integration for web searches
• Ollama integration for AI processing
• RESTful API endpoints

3. Frontend Application (./frontend)

• Modern Next.js application
• Responsive UI with Tailwind CSS
• Real-time results display
• Interactive fact-checking interface

🚀 Getting Started

Prerequisites

• Node.js (v16 or higher)
• Python 3.8+
• Ollama installed locally

Installation

1. Clone the repository

git clone https://github.com/yourusername/FactChecker.git
cd FactChecker

2. Install backend dependencies

pip install -r requirements.txt

3. Install frontend dependencies

cd frontend/fact-checker-app
npm install
npm install lucide-react

4. Install browser extension dependencies

cd ../../client
npm install

🔧 Configuration

1. Set up your environment variables
2. Configure the Ollama model settings
3. Set up DuckDuckGo API credentials (if required)

🖥️ Usage

Running the Server

cd server
python "duckduckgo ollama server.py"
python fact_check_server.py

Starting the Frontend

cd frontend/fact-checker-app
npm run dev

Loading the Browser Extension

1. Open your browser's extension management page
2. Enable developer mode
3. Load unpacked extension from the client directory

📚 API Documentation

The server exposes the following endpoints:

• POST /check-fact: Submit a statement for fact-checking
• GET /results: Retrieve fact-checking results
• POST /feedback: Submit user feedback

🤝 Contributing

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

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

👥 Authors

• Your Name - Initial work - @elee012345

🙏 Acknowledgments

• Thanks to the Ollama team for their amazing AI models
• The Next.js team for their fantastic framework
• All contributors and supporters of this project

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old readme in case i missed some things here

download and install ollama ollama pull mistral pip install requirements.txt (which we will totally have soon) install npm npm install lucide-react probably some other things

need to start multiple services IMPORTANT: RUN THESE IN ORDER python duckduckgo ollama server.py python fact_check_server.py npm run dev in fact-checker-app 😛