This project aims to classify the emotion on a person's face into one of seven categories, using deep convolutional neural networks. The model is trained on the FER-2013 dataset which was published on International Conference on Machine Learning (ICML). This dataset consists of 35887 grayscale, 48x48 sized face images with seven emotions - angry, disgusted, fearful, happy, neutral, sad and surprised. So in this project Human Emotion Analysis using facial expressions in real-time from webcam feed is performed. Tech Stack : ( Python / Tensorflow / Numpy / Opencv / Keras / Matplotlib )