Music Recommendation System Using Facial Expression Recognition Using Machine Learning

Abstract

Abstract: “MUSIC RECOMMENDATION SYSTEM USING FACIAL EXPRESSION RECOGNITION USING MACHINE LEARNING" is the title of this project. The study of human emotional responses to visual stimuli such as photos and films, known as visual sentiment analysis, has proven a fascinating and difficult problem. It attempts to comprehend the high-level information of visual data. The development of strong algorithms from computer vision is responsible for the present models' success. The majority of existing models attempt to overcome the problem by recommending either robust features or more sophisticated models. Visual elements from the entire image or video are the key proposed inputs in particular. Local areas have received less attention, which we believe is important to the emotional reaction of humans to the entire image. Image recognition is used to locate people in photos, analyse their emotions, and play emotion-related tunes based on their feelings. This repo accomplishes this goal by utilising the Google platform's Vision services. Given an image, it would look for faces, identify them, draw a rectangle around them, and describe the emotion it discovered