How I Built BeatBuddy: A Web App that Analyzes Your Spotify Data

BeatBuddy is a web app designed to analyze your Spotify listening data to infer your current mood and provide personalized music recommendations. It leverages Spotify’s API to access user data and utilizes parameters like danceability and valence to gauge track features. The app helps users understand their music preferences over different time periods and suggests new music based on selected moods. The project highlights the integration of data analysis and web development, offering an ad-free, user-friendly experience.