Mood Based Music Recommendation System

Abstract

Recommender Systems Have Gained Adepts In The Last Few Years And Are  Becoming Very Popular Day By Day As They Mirror The User’s Choice And Ease Their Work. Even Many Companies, Websites Like Amazon, Netflix, Spotifyetc Include The Recommendation Systems To Make Their Customers Happy To Ensure Business Grow.In This Research, We Are Recommending The Music To The User As Music Is Known To Have A Greater Impact On An Individual's Life.This Unsupervised Learning Technique Will Recommend Music To The User Based On Their Moods While Moods Will Be Detected With The Help Classification Technique And Cnn-Resnet Model Will Be Used For The Training Purpose.