Gautam Jha

I published a research paper on Music Recommendation Systems in IEEE and presented it at a conference held at IIT Indore. The paper focuses on developing an intelligent system that analyzes user preferences, listening history, and contextual factors to provide personalized music suggestions. It evaluates various recommendation techniques, including collaborative filtering, content-based filtering, and hybrid models, to improve accuracy and user satisfaction. Additionally, the system incorporates mood and genre detection to enhance the relevance recommendations. The research aims to create a more engaging and tailored music experience for users through advanced data-driven algorithms.