DeepGuard - Deepfake Detection System

DeepGuard is an advanced AI-powered deepfake detection system that helps combat misinformation and protect digital authenticity in the era of synthetic media.

Features

• 🔍 Real-time deepfake detection
• 🖼️ Support for multiple image formats (JPEG, PNG, GIF, WEBP)
• 🤖 Multiple AI models for analysis
• 📊 Detailed confidence scores and analysis
• 📱 Responsive design for all devices
• 🌙 Dark mode support
• 📜 Analysis history tracking

Tech Stack

• Frontend:

  • React
  • TypeScript
  • Vite
  • Tailwind CSS
  • Framer Motion
  • Lucide Icons

• AI/ML:

  • Xception
  • Gradio API Integration

Getting Started

Prerequisites

• Node.js (v14 or higher)
• npm or yarn

Installation

1. Clone the repository:

git clone https://github.com/NguyenTrongNguyen04/DeepFake-Detection
cd deepguard

2. Install dependencies:

npm install
# or
yarn install

3. Start the development server:

npm run dev
# or
yarn dev

4. Open your browser and navigate to http://localhost:5173

Usage

1. Select a model from the available options
2. Upload an image using drag & drop or file selection
3. Wait for the analysis to complete
4. View the results showing:
   • Deepfake probability
   • Confidence score
   • Technical details
   • Analysis history

Project Structure

project/
├── src/
│   ├── components/     # React components
│   ├── sections/       # Page sections
│   ├── types/         # TypeScript type definitions
│   ├── utils/         # Utility functions
│   └── App.tsx        # Main application component
├── public/            # Static assets
└── package.json       # Project dependencies

API Integration

The project integrates with the Gradio API for deepfake detection. The API endpoint is configured in src/utils/api.ts.

Contributing

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.

Acknowledgments

• Xception for the deep learning model
• Gradio for the API integration
• Lucide Icons for the beautiful icons
• Framer Motion for the animations

Contact

Nguyen Trong Nguyen - nguyentrongnguyen.profile@gmail.com

Project Link: https://github.com/NguyenTrongNguyen04/DeepFake-Detection