MoodTunes - Emotion-Based Music Recommendation System Project

MoodTunes is an AI-powered Emotion-Based Music Recommendation System developed to enhance user engagement by providing personalized music recommendations based on real-time facial emotion recognition. The system captures a user's facial image through a webcam, analyzes facial expressions using Deep Learning and Computer Vision techniques, and identifies emotions such as Happy, Sad, Angry, Fear, Disgust, Neutral, and Surprise. Based on the detected emotion, the platform automatically recommends suitable songs from its music database. Users can also participate in mood surveys, create personalized playlists, and manage their favorite songs. The application integrates OpenCV for face detection, TensorFlow/Keras for emotion classification, and Django for backend management. The system aims to improve user satisfaction by offering emotionally relevant music recommendations, creating a more immersive and personalized entertainment experience.