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Vibe ML is an intelligent music recommendation system that helps you discover new music through advanced audio analysis and machine learning technology.
Using K-means clustering with distinct clusters, we group songs based on their audio features to find the most similar tracks.
We analyze multiple audio features including danceability, energy, valence, acousticness, and tempo to understand each song's unique characteristics.
Our system is built on a comprehensive database of songs, allowing for diverse and accurate recommendations across different genres and styles.
Find new music based on songs you already love, helping you discover artists and tracks that match your musical taste.
Vibe ML uses a sophisticated K-means clustering algorithm with 20 clusters to group songs based on their audio features. Our recommendation process follows these steps:
The audio features we analyze include: