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Spotify Mood Classifier 🎵✨ This project aims to classify Spotify songs into distinct moods (e.g., happy, sad, energetic, etc.) using machine learning techniques and audio feature analysis. Leveraging the Spotify Song Dataset, the model analyzes audio features like tempo, energy, and valence to predict the mood of each track.

active 2025-01-162025-01-16 (UTC)

Complete coverage26,788 / 26,788 hourly files (100%) · 2 absent upstream2023-08-152026-09-04 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-16 to 2025-01-16. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
prathameshfuke3300

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.