Abstract
Deep learning approaches are currently having great success across several industries, including computer vision. Yes, it is possible to train a convolutional neural networks (CNN) model to analyse photos and recognise facial expression. In this study, we develop a system that can identify students' facial expressions of emotion. The three parts of our system are facial detection using Haar Cascades, normalisation, and emotion recognition using CNN on the FER 2013 database employing seven different expression kinds. The obtained results demonstrate that face emotion detection is practicable in education, and as a result, it can assist teachers in adapting their presentation to the emotions of the pupils.
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