Facial Emotion Based Music Recommendation System using computer vision and machine learning techiniques

The face is an important aspect in predicting human emotions and mood. Usually the are extracted with use of camera. There many applications getting developed based on detection emotions. Few emotion business notification recommendation, e-learning, mental disorder depression detection, criminal behaviour etc. In this proposed system, we develop a prototype recommendation dynamic music system Based each listening pattern, songs for trained. Integration feature extraction machine learning techniques, from real detected once mood derived input image, respective specific would be played to hold users. approach, application gets connected feelings thus giving personal touch Therefore our projected concentrate identifying developing player using computer vision techniques. For experimental results, openCV recommendation.