Harmony Verse: Exploring AI-Driven Musical Composition Through Innovative Approaches

Music consumption has undergone a radical transformation in the digital age, with users having access to vast collections and personalized recommendations of music. However, several challenges remain in the current music landscape, such as generating new music from existing songs, classifying music genres, and visualizing trends, synthesizing melodies from user vocals, and displaying music according to user emotions. This paper proposes innovative solutions for these challenges using artificial intelligence (AI) technologies. A lo-fi generator has been developed to create unique tracks from existing songs using machine learning techniques. Additionally, a music genre classification system offers realtime trend analysis and visualization. A melody synthesis system generates new songs based on user vocals. An interactive platform displays lo-fi music based on user emotions. Solutions are evaluated using various metrics to demonstrate their effectiveness and potential in enhancing music consumption experiences. This project contributes to the advancement of music generation, recommendation, and emotional experience fields, providing users with novel and personalized music solutions that cater to their individual preferences and emotions.