Movie & Song Recommender System Based on Emotion Detection using Machine Learning
Sanjeev Kumar Singh, Shruti Gupta, Shivam Prajapati, Rahul Tewari · 2023
Emotions play a great role in human lives. Our mind unconsciously notices the emotions of people we meet every day. It interprets the signals people emit through these emotions. It also tries to determine how to respond to and deal with people around us. Facial expressions can reveal emotions like happiness, anger, sadness, surprise, fear, excitement, desire, contempt, disgust, confusion and many more. This paper proposes an emotion-based movie and song recommender system that utilizes deep learning techniques for user’s emotion detection. It also provides recommendation of movies and songs that match user’s emotional state at that time.The emotion detection based movie and song recommender system is a revolutionary system that aims to come up with customized suggestions formed on basis of user’s emotional state at that time. It uses advanced techniques of artificial intelligence for emotion detection of user. It then suggests movies and songs that align with their mood. Also, it can help users find latest items that they may not have found by themselves. It leads to a more enjoyable and fulfilling entertainment experience. Additionally, the system has the potential to improve mental health outcomes by providing users with content that can positively impact their emotional state. Overall, the movie and song recommender system using emotion detection is a valuable tool for anyone seeking personalized entertainment recommendations. Our research work focused on using facial expressions for movies and song recommendation to the user. Depending on the expression user reveals at particular moment we can best recommend movies that suit his current mood.