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Abstract: Music plays an awfully necessary role in people’s lives. Music brings similar folks along andis that the glue that holds communities along. Communities will be recognized by the sort of songsthat they compose, or even listen to. The aim of our project and analysis is to search out a higher machine learning formula than the pre-existing models that predict the genre of songs Therefore, it's essential toclassify the music in line with the genres to satisfy the wants of the folks flatly. The manual ranking of musicmay be a repetitive, protracted task and also the dutylies with the attender. The planned analysis work hascompared few classification models and established areplacement model for CNN, that is best than antecedent planned models. This analysis work hastrained and compared the planned models onGTZAN dataset, wherever most of the models wereaudio file trains, whereas a couple of the models weretrained on theexposure.