In this project, Recognition is performed on seven basic human emotions which are angry, disgust,
fear, happy, sad, surprise and neutral. Emotion recognition is done using video in which basic CNN
algorithm is used, and it is trained and tested with the help of fer2013 dataset.
For doing the same task using audio, the Ravdess dataset is used. A CNN model is initialized
as an emotion classifier and it is trained on the dataset.