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Content-based music recommendation system using Deep Learning and Cosine Similarity built with Pytorch

A music recommendation system that recommends songs according your current mood. Given a current song being played, it learns and recommends songs that you would like to listen to next

Emotion based music recommender system

一个简洁实用的终端音乐播放器，使用 Rust 实现，支持网络歌曲搜索播放、歌词显示、AI推荐、主题切换等功能，支持Windows、Linux、MacOS系统。A simple and practical terminal music player, implemented in Rust, featuring functions such as online song search and playback, lyrics display, AI recommendation, theme switching, etc. It is compatible with Windows, Li... Read more

The system uses spotify API to extract features from music and uses it to train the model in order to get real time music recommendation

Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019 under the guidance of Ardent Computech Pvt. Ltd.

Bulbul is a Music Recommendation and Streaming Platform that uses graph algorithms to provide highly personalized music recommendation and music discovery system

Extract Spotify playlist data using Spotipy — track info, audio features (danceability, energy, key), and pandas DataFrames. Foundation for building a music recommendation system.

Building a Spotify recommendation system for prominent music labels, using K-means clustering and cosine similarity (Flatiron Project 4)

Emusify is a real-time mood-based music recommendation system that runs in the background and plays music according to a user's mood.