Facial_Expression_Recognition_6EMO

Built and trained a CNN from scratch to recognize facial expression. Classifies face based on emotion into Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral. A web interface is used to perform real-time on image and video data. The project can be braodly divided into two parts -

1. Build and train a model in Keras for Facial Expression Recognition.
2. Deploy the model on web using FLASK and run it on videos.