Abstract: In recent years, recommendation systems have been used to make people’s lives easier with product recommendations used by Amazon/Flipkart, movie recommendation used by Netflix/Amazon Prime. The idea of our project is to integrate the recommendation system with user emotion detection in a seamless way. The user’s emotion will be captured through live feed and his/her emotion will be predicted by a trained model, based on the predicted emotion, the user will be given a playlist containing songs based on the emotion.

Key words: Emotion Detection, Deep Learning, Web Development, Recommendation System


Downloads: PDF | DOI: 10.17148/IJARCCE.2022.11553

How to Cite:

[1] Kirti Jain, Shruti Swarup Srivastava, Tushar Vij, "A Review on Song Recommendation Approaches," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11553

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