This project uses OpenCV and a Convolutional Neural Network (CNN) model to classify the emotion on a person's face into one of seven categories: angry, disgusted, fearful, happy, neutral, sad, and surprised. The model is trained on the FER-2013 dataset, which consists of 35887 grayscale, 48x48 sized face images with seven emotions.
