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
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DOI:
10.17148/IJARCCE.2022.11553
