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FakeSpotter β Deepfake Detection System
Overview
A multimodal AI system to detect deepfake images and videos using hybrid deep learning models.
Architecture
- CNN β Image & frame-level analysis
- Autoencoder β Anomaly detection
- Vision Transformer (ViT) β High-accuracy image classification
Tech Stack
- Python, PyTorch, OpenCV
- React.js (Frontend)
- HTML, CSS, JavaScript
Features
- Deepfake image detection
- Video frame-by-frame analysis
- Real/Fake prediction with confidence score
- Responsive web interface for media upload
GitHub
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