Intelligent Music Recommendation System Based on Face Emotion Recognition
Nandini Gupta, Shruti Agarwal, Kireet Joshi, Vishan Kumar Gupta, Surendra Kumar Shukla, Gurpreet Singh
Abstract
Music has been considered a form of expression that can treat conditions such as stress, anxiety, and mood swings. The latest research in music psychology shows that music evokes palpable emotions in listeners. People's personality and mood determines what kind of music they prefer to listen to. The areas of the brain that process thoughts and emotions also control tempo, timbre, and music. Although a person's response to music depends on many external factors, we can classify music as kindness, patience, relaxation, and passion, that's why music is a high-quality connector. Industries are also part of us for a long time, backgrounds, languages, hobbies, political leanings and earning degrees, songs, and other streaming apps. Those apps may be used every time and everywhere and they can be used for daily activities, travel, sports, activities, etc. It is an excessive call for as it can be combined with the rapid development of cellular networks and the digital multimedia era, the virtual track has ended up being the main content of many younger human beings. Emotion-based tunes in our device is designed to recognize emotions in actual time and suggest songs primarily based on perceived emotions. This will become an addition to the conventional tune participant apps we had on our telephones before. One of the essential blessings of being concerned in emotional intelligence is purchaser satisfaction. The main motive of this device is to research the user's image, predict the expression of the person and advise songs appropriate to the detected mood.