Realtime_emotion_detection

The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (CNN). The model was trained on a dataset of images to classify human emotions and achieves an accuracy of 56%. It processes live video feeds to dynamically detect and categorise facial expressions in real time