indranil143/Hybrid-Music-Recommendation-System
MelodyMind offers personalized music recommendations, from a real-time Last.fm API-powered app to an advanced hybrid system combining content-based and collaborative filtering with LightFM.
MelodyMind helps music lovers discover new music tailored to their taste. You provide an artist or track, and it delivers a list of recommended songs along with details about the artists and tracks. This tool is ideal for anyone looking to expand their music library and explore new sounds effortlessly.
No commits in the last 6 months.
Use this if you want to find diverse music recommendations based on artists or tracks you already enjoy, exploring beyond simple direct similarities.
Not ideal if you're a record label needing to manage vast catalogs or a music streaming service requiring a robust, scalable backend for millions of users.
Stars
26
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/indranil143/Hybrid-Music-Recommendation-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ucalyptus/Spotify-Recommendation-Engine
Music Recommender System
ronibandini/reggaetonBeGone
Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully)
mattmurray/music_recommender
Music recommender using deep learning with Keras and TensorFlow
maurocastermans/now-playing
Raspberry Pi application that detects music with ML, identifies it using Shazam, and shows the...
Dodelidoo-Labs/sonobarr
Music discovery tool that integrates with Lidarr and provides recommendations using Last.fm