Movie Recommendation System Using Facial Emotion Detection

This paper discusses a Movie Recommendation System that uses Facial Emotion Detection. The system captures the user’s facial expressions with a webcam and recognizes emotions like happy, sad, angry, or neutral through computer vision techniques. Based on the detected emotion, the system suggests appropriate movies from a movie dataset. This system is built with Python, OpenCV, and machine learning methods to offer personalized movie recommendations.