A person frequently finds it difficult to choose which music to listen to from the vast selection of available selections. Depending on the user's mood, a variety of suggestion frameworks have been made available for topics including music, dining, and shopping. Our music recommendation system's primary goal is to offer people options that match their tastes. Understanding the user's present emotional or mental state may result from analysing the user's face expression and emotions. One area where there is a great possibility to provide customers a wide range of options based on their preferences and recorded information is music and video.The best track matching the user's mood is detected, saving the user time from having to search or seek up music, and tracks are presented to the user in accordance with their mood. The user's image is recorded with the aid of a camera. An appropriate music from the user's playlist is then played while the user's image is being shot, according to their mood or emotion
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An emotional detection and music recommendation system based on user facial expressions is an innovative application that can enhance the user's music listening experience. This system combines computer vision techniques, machine learning algorithms, and music emotion mapping to create a personalized and emotionally aligned music playlist
rajuroyal-web/Emotion-Recognition-And-Music-Player-Using-Facial-Expressions
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An emotional detection and music recommendation system based on user facial expressions is an innovative application that can enhance the user's music listening experience. This system combines computer vision techniques, machine learning algorithms, and music emotion mapping to create a personalized and emotionally aligned music playlist
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