Emotion Based Movie Recommendation System Using CNN and GNN

Abstract

Emotion based movie recommendation system is a unique application that tries to improve the user's entertainment experience by implementing emotion recognition techniques and recommendations algorithms. It uses computer vision techniques to detect the user's emotions through their camera feed and then recommends movies that matches/improves their current mood or vibe. The application is made using deep learning techniques such as CNNs for emotion detection and GNNs for generating movie recommendations, to provide a better user experience.