Abstract
Facial expression is a non-verbal communication gizmo which helps to understand the overall presence of the user. The cues which are observed by cognizance of facial expression of the individual are based upon capturing the image in real time. Therefore, facial expression recognition, since it excerpt and analyzes information from an image or video, it is capable to deliver unfiltered and unbiased data as its responses. Facial expression recognisation is a vital instrument used in distinct fields for improving the product by enhancing the performance through monitoring user’s behavior. This technology is made by using machine learning (ML) concept. It first captures an image then detects the face from the captured image. It then uses biometric markers and landmarks of the face from captured image with the help of haarsascade classifier. More precisely, this technology automatically detects the six fundamental and universal expressions i.e. happy, fear, anger, sad, surprise, neutral and then it will show the playlist of music on youtube accordingly. Keywords- Facial expression, Unbiased data, Playlist, Haar sascade classifier, Music, Landmarks, Biometric.
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