Moodify : Adaptive Music Selection by Facial Expression

Moodify is an emotionally brave music selection system that personalizes audio experiences by detecting users’ facial expressions in real-time. Bridging affective computing and music information retrieval, the system leverages computer moves and deep learning techniques—primarily Convolutional Neural Networks (CNNs)—to classify emotional states such as happiness, sadness, anger, and calmness. Based on these inputs, Moodify curates adaptive playlists aligned with or intended to shift the user’s mood, creating a dynamic and empathetic listening environment. The system integrates with platforms like Spotify via API, supports real-time emotion monitoring, and adapts music accordingly. Developed using a modular architecture of ReactJS, Flask, and TensorFlow, Moodify emphasizes privacy, scalability, and cross-device compatibility. Beyond entertainment, its applications span mental health, education, elderly care, and automotive systems. By transforming passive listening into an emotionally aware interaction, Moodify exemplifies the future of human-centric, affective technology in digital media experiences