EmoFace is an AI-powered platform that analyzes facial expressions in images and predicts emotions. This project utilizes deep learning models to detect and classify emotions such as happiness, sadness, anger, surprise, and more, offering valuable insights for applications in areas like customer feedback, mental health, and entertainment.
- Emotion Recognition: Accurately detects various emotions like happiness, sadness, anger, etc., from facial images.
- Real-time Prediction: Supports real-time emotion prediction from webcam or uploaded images.
- Customizable: Easy integration with different applications for emotion analysis.
- Lightweight: Optimized for quick responses and minimal resource usage.
- Backend: Python
- Machine Learning: TensorFlow/Keras/PyTorch (depending on the model)
- Frontend: (If applicable: e.g., React, Flask, etc.)
- Deployment: Docker, Cloud (GCP, AWS, etc.)
Make sure you have the following installed:
- Python 3.x
- TensorFlow/PyTorch
- OpenCV (for webcam capture)
- Flask or other required frameworks