Reggykbh/MoodSense-
🎵 Predict music mood categories using audio features with a lightweight, beginner-friendly machine learning model for easy music classification.
What's novel
🎵 Predict music mood categories using audio features with a lightweight, beginner-friendly machine learning model for easy music classification.
Code Analysis
3 files read · 2 roundsA basic Python script that trains a K-Nearest Neighbors model on a tiny CSV dataset to predict moods from audio features.
Strengths
The core ML logic is functional and uses standard libraries correctly. Variable names are clear and descriptive.
Weaknesses
Severely lacks error handling, input validation, and testing. The README falsely claims it is a cross-platform desktop app with features that do not exist in the code. The training dataset is too small to be meaningful.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
9
Contributors
2
Files
6
Active weeks
2
Repository
Language
Python
Stars
1
Forks
0
License
—