Emotion recognition system based on facial expressions

Emotion recognition has been a challenging thing in the industry for many years. Leveraging our knowledge skills and science on the data acquired and extracting useful information is not an easy task. However, since the birth of deep learning in computer vision, emotion recognition has turned into a wildly-tackled research problem. In this paper we are implementing a convolution neural network (CNN) building framework to design real time CNNs. We are making a real-time emotion recognition system which accomplishes the task of face detection and emotion classification simultaneously in one step using our proposed CNN framework.