This project focuses on detecting deepfake content (images and videos) using a trained model and analyzing emotions from faces using DeepFace. The deepfake detection is based on a convolutional neural network trained on a real vs fake dataset.
- ✅ Deepfake detection from images and videos
- 😊 Emotion analysis
- 📂 Real vs Fake dataset training
- 💻 Lightweight, optimized, and runs on limited resources