BobbyWilt/Spotify_Song_Recommender
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
This tool helps you get personalized song recommendations by analyzing your existing Spotify playlists. You provide your current music preferences through your Spotify account, and it uses that information to suggest new songs you might like. It's designed for any Spotify user who wants to discover more music tailored to their taste.
No commits in the last 6 months.
Use this if you want a custom song recommendation system that learns from your specific Spotify listening habits, including songs and genres you dislike.
Not ideal if you're looking for an immediate solution, as it's currently on hold due to changes in Spotify's API.
Stars
32
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BobbyWilt/Spotify_Song_Recommender"
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)
pooranjoyb/BeatBridge
A Music Player with a Clustering based Recommendation Engine utilizing Spotify API
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...