Emotion-based Music Recommender System using Viola-Jones and CNN
Bijal Dharne, Naveen Shukla, Ankit Hooda, Ichhanshu Jaiswal · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: The goal of this project is to develop an emotion-based music recommender system that provides personalized music recommendations based on the user's current emotional state. The system incorporates an emotion detector that analyses user’s facial expressions, to determine their current mood. Based on the detected emotion, the system recommends music tracks that match the user's current emotional state