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Emotion based music recommender system

Music Recommender System using Apache Spark and Python

This Project is a music recommender based on the spotify's music database

Building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques.

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

django音乐推荐系统

Offline AI music recommender & recogniser. Local song ID + smart playlists (CLAP + FAISS).

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.

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