Music Recommendation System Using Artificial Neural Networks

Music streaming platforms have transformed how users discover music, but existingrecommendationsystemsface limitations in capturing nuanced user preferences. This paper presents a music recommendation system utilizing Artificial Neural Networks (ANN) to analyze song features like tempo, energy, and danceability. Spotify’s API is employedtoextracttheseattributes,whichareusedtotraintheAutoencoder.Personalizedplaylistsaregenerated by incorporating both audio features and user preferences. The system intends to make music recommendations more relevant and enjoyable by leveraging advanced machine learning techniques