A Spotify Data-Driven Web App for Clustering Tracks Across Eras
This project is a web application that lets users “time travel” through music by finding artists from different eras with similar musical features. By clustering the features from our dataset using machine learning techniques, the app identifies older, pre 2000s, musicians and matches them with newer, post 2000s, musicians based on similar features.