Music Genre Classification App in Django
Machine learning approach to classify music based on genres - indrajithi/mgc-ai
Music Genre Classification App in Django launched on June 10, 2017 with 54 votes, #733 of 3,107 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 9 years on.
In plain words
This music genre classification app, built with Django, automatically categorizes songs into their musical genres. It's designed for music enthusiasts, developers, and anyone who needs to organize music collections systematically. The tool uses classification algorithms to analyze audio and assign appropriate genre labels, making it useful for music streaming platforms, DJs, and music databases. Available as open-source code on GitHub, it allows users to customize the classification process for their specific needs.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- ITI trained an AI model on 120M+ songs from iTunes2023 · maroofy.com · ▲753
Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic…


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