SkyGate is a comprehensive application designed to detect whether images and videos are AI-generated or authentic. The application leverages state-of-the-art detection algorithms, including Vision Transformers, ResNet50 NoDown architecture, metadata analysis, and pixel-level examination to provide accurate and detailed analysis results.
- Advanced AI Detection: Multiple detection methods working in concert to provide high accuracy
- User-Friendly Interface: Intuitive design with drag-and-drop upload and comprehensive result displays
- Detailed Analysis: Breakdown of detection factors with confidence scores and visualizations
- Multi-Format Support: Handles various image and video formats with different resolutions
- Secure User Management: Complete authentication system with profile management
- Responsive Design: Optimized for both desktop and mobile devices
- Python 3.10+
- Flask 2.3.x
- PostgreSQL 14+ and MongoDB 6.0+
- TensorFlow 2.12+ and PyTorch 2.0+
- OpenCV 4.7+ and Pillow 9.5+
- TypeScript 5.0+
- React 18.2+
- Material-UI 5.13+
- React Router 6.10+
- Python 3.10+
- Node.js 16.0.0+
- PostgreSQL 14+
- MongoDB 6.0+
- Clone the repository
git clone https://github.com/yourusername/skygate.git
cd skygate- Set up the backend
cd backend
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt- Set up the frontend
cd ../frontend
npm install- Start the application
# In the backend directory
python run.py
# In the frontend directory
npm start- Access the application at http://localhost:3000
For detailed documentation, please refer to the following:
This project is licensed under the MIT License - see the LICENSE file for details.
✨ Created & Crafted By: Eng. Mazin Yahia ✨
