Muzingle is a content based song recommender system built using K-means clustering algorithm , spotipy API and scikit-learn. It is a beginner friendly Machine Learning project and suitable for those who are new in the field of ML/AI. The project mainly focuses on learning data visualisation, data preprocessing , clustering genre with K-means, training of models, building a recommender system, and finally building webapp for user interface.
Pandas, Numpy, Plotly, Scikit-learn, Flask
To recommend songs based on user's interests .