HarmonyHub: Music Tracking Platform for Recommendations and Social Connectivity

Abstract

Thesis is about HarmonyHub, a web-based platform that bridges the gap between music streaming and social connectivity. It was built using the MERN stack. It tracks the user’s music listening history and uses that data to connect the users with similar listening habits. It provides personalized recommendations by analyzing the listening data of users with similar tastes. It provides realtime listening stats. It follows the system design principles of secure authentication and modular architecture.