KasiR07/Genre-Classification-System
The project aims to develop a Genre identification system that can accurately determine the genre of a song by analyzing its waveforms. By leveraging Machine learning techniques and audio signal processing, we will extract relevant features from the waveforms and train a classification model to recognize various music genres.
This system helps music platforms, educators, and enthusiasts automatically categorize songs by genre. You input a song's audio waveform, and the system outputs its identified music genre. This is perfect for anyone managing large music collections or needing to understand the characteristics of different musical styles.
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Use this if you need an accurate, automated way to classify music tracks by genre for recommendation systems, curated playlists, or educational analysis.
Not ideal if you need to classify songs that might belong to multiple genres simultaneously or require extremely fast, low-latency real-time identification for live applications.
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Sep 13, 2025
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