Project Overview

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Research Flow

Collection processed via Beets and Essentia to extract high-dimensional acoustic features.

Audio features are embedded into ChromaDB, creating a searchable 200D vector space.

K-Means clustering with Elbow Method optimization to find the natural structure of the library.

Automated sentiment and genre naming of clusters to provide human-readable context.

Efficient delivery using .bin files for the 200D embeddings to ensure fast browser-side math.

Interactive 3D rendering powered by Plotly, projecting complex relationships into an explorable galaxy.