My name is Kenny Shema, and I am a class of 2025 student pursuing a major in Computer Science and Economics.
Project:
My project consists of a personalized music recommendation system that uses real-time heartbeat data to suggest songs matching the user’s current mood or energy level. Built with a focus on integrating wearable sensor data and machine learning, the project aims to enhance emotional connection and user experience through adaptive, data-driven music selection.