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Audionome: Music Genre Classification
Audionome application interface showing music genre classification
Demo screenshot of Audionome classifying a music track with SVM model results
Project Overview
For the AI Machine Learning course at VIVES University of Applied Sciences, I worked with Lynn Delaere on Audionome: an AI-powered system for music genre classification.
We trained several models (including logistic regression, SGD, and random forest) to automatically recognize and accurately classify music clips based on their genre. The project combines audio processing, machine learning, and a user-friendly interface built with Streamlit.
Technologies Used
- AI
- SVM
- Streamlit
- Python
- Pandas
- NumPy
- Librosa
- Scikit-learn
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