Detecting Facial Expression in real time using Deep Learning. The Model recognizes 7 basic emotions (happy, sad, angry, afraid, disgust, surprise and neutral). The dataset used is the FER-2013 Dataset. Using a CNN (convolutional neural network) a accuracy of 68.27% .
The CNN architecture is given below
The following model was deployed to a web-interface using Flask. The Libraries used were Numpy and Keras