SONG RECOMMENDER SYSTEM

SONG RECOMMENDER SYSTEM

1. Nandana S Menon 2. Prajith M 3. Priyanka 4. R.Ashik Kaimal 5. Sarath A Pillai 6.Josmy Mathew

ABSTRACT

The purpose of paper entitled “SONG RECOMMENDER    SYSTEM”    is    to recommend music according to the emotion of a person.The face is an important aspect in predicting human emotions and mood. Usually, the human emotions are extracted with the use of camera. There are many applications getting developed based on detection of human emotions. Few applications of emotion detection are business notification recommendation, e- learning, mental disorder and depression detection, criminal behaviour detection etc. In this proposed system, we develop a prototype in recommendation of dynamic music recommendation system based on human emotions. Integration of feature extraction and machine learning techniques, from the real face the emotions are detected and once the mood is derived from the input image, respective songs for the specific mood would be played to hold the users. In this approach, the application

gets connected with human feelings thus giving a personal touch to the users. Therefore, our projected system concentrates on identifying the human feelings for developing emotion-based music player. For experimental results, we use OpenCV for emotion detection and music recommendation.

Key words: Convolutional Neural Network , Open CV.