😊 Emotion Detection AI

An advanced emotion detection system powered by deep learning that analyzes facial expressions in real-time.

🎯 Features

• Real-time Detection: Instant emotion analysis from images
• 3 Emotions: Angry 😠, Happy 😊, Sad 😢
• Multiple Input Methods: Upload, webcam, or sample images
• High Accuracy: Based on Vision Transformer architecture
• Easy to Use: Simple, intuitive interface

🚀 How to Use

1. Upload an Image: Click the upload area or drag & drop
2. Use Webcam: Click webcam icon for live capture
3. Try Samples: Click sample buttons for demo images
4. Detect: Click "Detect Emotion" button
5. View Results: See detected emotion with confidence scores

🤖 Model Details

• Architecture: Vision Transformer (ViT)
• Face Detection: MTCNN
• Framework: PyTorch
• Model Size: ~344MB
• Inference Time: 1-2 seconds

📊 Performance

• Optimized for clear, frontal face images
• Works with various lighting conditions
• Supports JPG, PNG, WEBP formats

🎓 Applications

• Customer sentiment analysis
• Mental health monitoring
• User experience research
• Interactive entertainment
• Educational tools

⚠️ Limitations

• Requires visible face in image
• Best with frontal face poses
• Performance depends on image quality
• Currently supports 3 basic emotions

🛠️ Technical Stack

• Gradio: Web interface
• PyTorch: Deep learning framework
• MTCNN: Face detection
• Hugging Face: Deployment platform

📝 License

MIT License - Feel free to use for your projects!

👨‍💻 Developer

Created with ❤️ for facial emotion recognition

---

Try it now! Upload an image and see the magic happen ✨

---

### 4. **Create `.gitignore`**

Python

pycache/ *.py[cod] *$py.class *.so .Python venv/ env/ *.egg-info/ .ipynb_checkpoints

Model files (will be downloaded)

*.pt *.pth *.onnx emotion_vit_model.pt

---