AI Based Music Emotion Driven Music Recommendation System
International Research Journal of Modernization in Engineering Technology and Science · 2023
This study investigates the development of an AI-based music recommendation system driven by emotions.The purpose is to analyze the feasibility and efficacy of utilizing machine learning algorithms to recommend music based on users' emotional states.The design involves a multi-faceted approach, integrating emotion recognition techniques with music data analysis.Emotion classification models are employed to interpret users' emotional cues from various data sources, such as facial expressions, physiological responses, and userinput metadata.These emotional indicators are then correlated with a comprehensive music database, enabling the system to recommend tracks that align with the user's detected emotional state.The research culminates in an analysis that demonstrates the system's ability to accurately recommend music that resonates with the user's emotions, thereby enhancing user experience and satisfaction.The results indicate promising potential for the practical implementation of such AI-driven systems in the music recommendation domain.This investigation provides insights into the intersection of AI, emotion recognition, and music recommendation systems, paving the way for more personalized and emotionally resonant technological applications.