https://github.com/rijoslal/mickey
Mickey is a ML web app that captures emotions in music using LSTM and GRU-based neural networks built with TensorFlow. It features a FastAPI backend with Jinja templates for the frontend, and uses Librosa for audio processing. The system analyzes music to classify emotions, making it a powerful tool for mood-based music recommendations
https://github.com/rijoslal/mickey
fastapi html-css-javascript jinja2-templates librosa sklearn tensorflow
Last synced: 2 months ago
JSON representation
Mickey is a ML web app that captures emotions in music using LSTM and GRU-based neural networks built with TensorFlow. It features a FastAPI backend with Jinja templates for the frontend, and uses Librosa for audio processing. The system analyzes music to classify emotions, making it a powerful tool for mood-based music recommendations
- Host: GitHub
- URL: https://github.com/rijoslal/mickey
- Owner: RijoSLal
- Created: 2025-01-21T04:32:47.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-30T04:44:04.000Z (4 months ago)
- Last Synced: 2025-01-30T05:19:08.488Z (4 months ago)
- Topics: fastapi, html-css-javascript, jinja2-templates, librosa, sklearn, tensorflow
- Language: HTML
- Homepage:
- Size: 1.1 GB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md