Music Recommendation System Using Facial Emotion Gestures
Avadhut P. More, Swanand P. Gholap, Aniket A. Gayke, Uddhav D. Hon, Prof. Sharad M Rokade · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: Music recommendation systems are transformingthe way users interact with music streaming servicesby personalizing experiences. This paper presents a novel approach that leverages facial emotion recognition (FER) to suggest music dynamically based on users' emotional states. Using machinelearning and deep learning models, facial expressions are analyzed in real-time through video input. The system integrates emotion-based recommendations with collaborative and content- based filtering techniques to enhance accuracy. Thisapproach offers a more intuitive and human-centered interaction compared to traditional systems. The proposed solution can be used across streaming platforms, personalized wellness apps, and therapeutic environments.