Real-Time Face Emotion Detection (CNN)

The system implements deep learning model training, image preprocessing, and a real-time inference pipeline using Python. It classifies emotions into Angry, Sad, Fear, Surprise, Neutral, and Disgust from live video feeds. Focused on improving model accuracy and optimizing performance for real-time constraints. Built for training and research purposes.