https://github.com/castrozan/spotify-mood-playlist
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (3.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Castrozan
- Language: HTML
- Default Branch: master
- Size: 7.81 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Spotify Mood Playlist Recommender
This project is a Spotify playlist recommender that suggests playlists based on your mood, which is determined by a combination of color selection and mood parameters.
This project was created with manus @https://manus.im/share/ezuX6i5mgP7iIURDuS9dW7?replay=1
How It Works
The application uses a three-dimensional mood assessment system to recommend playlists:
- Valence (V): Your happiness level.
- Energy (E): Your energy level.
- Dominance (D): Your sense of control.
You can select from pairs of colors, and optionally fine-tune your mood with sliders for Valence, Energy, and Dominance. These inputs are sent to a proxy server, which then queries the Taranify API to get playlist recommendations tailored to your mood.
Credit
This project was created with the assistance of an AI pair programmer. The original development session can be viewed at Manus.
Owner
- Name: Lucas Zanoni
- Login: Castrozan
- Kind: user
- Repositories: 2
- Profile: https://github.com/Castrozan
GitHub Events
Total
- Push event: 3
- Create event: 2
Last Year
- Push event: 3
- Create event: 2
Dependencies
- flask *
- flask-cors *
- requests *