© 2020 JETIR April 2020, Volume 7, Issue 4 www.jetir.org (ISSN-2349-5162) JETIR2004499 Journal of Emerging Technologies and Innovative Research (JETIR) www.jetir.org 2170 EMOTION BASED MUSIC RECOMMENDATION SYSTEM Dr.Sunil Bhutada, assistant Professor, Information Technology Department,Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad. CH.sadhvika, Gutta.Abigna, P.Srinivas reddy , Bachelor of Technology IV th year, IT Department, Sreenidhi Institute of Science and Technology,Yamnampet, Hyderabad. Abstract - Human emotion play a vital role in recent times.Emotion is based on human feelings which can be both expressed or not.Emotion expresses the human’s individual behaviour which can be in different forms.Extraction of the emotion states humans individual state of behaviour. The objective of this project is to extract feature from human face and detect emotion.and to play music according to the emotion detected. However, many existing techniques use previous data to suggest music and the other algorithms used are normally slow,usually they are less accurate and it even require additional hardware like EEG or physiological sensors. Facial expressions are captured a local capturing device or an inbuilt camera.Here we use algorithm for the recognition of the feature from the captured image. Thus,the proposed system is based on the facial expression captured and will music will be played automatically. Keywords: Emotion Recognition,music recommendation, Facial Extraction, real time capturing images. 1.INTRODUCTION: In this concept music is recommended to the user by detecting the real time capturing of user’s emotions. Existing technique were using collaboration technique which will use previous user data to recommend music and This technique requires lot of manual work so, we proposed a system to arrange different music in different categories such as happy, sad or angry etc. Emotion-Based-music-player It's music player with chrome as front-End which has the capability to detect emotions I.e, the face of user with the help of machine learning algorithm using python. Based on the detected user’s mood song list will be displayed/recommend to the user. In this application image of a person is captured using a real time machine that has the access to the local machinery.and depending on the captured image it compares the database data sets that already saved in the local device through processing it defines the present mood of the user in numerical form based on this music will be played other than that we have some common features that are queue playlist so that we can have a individual playlist and the last one is random it uses python Eel library so that it can pick a random song with out any order.for this we have used libraries like OpenCV, EEL, numpy etc.this system is mainly proposed because music play a vital role in recent times that is to reduce stress.so,in order to detect the emotion we are using face as a main source of data because normally face expression defines the Emotion so according to the mood we play the music that it can change the user’s mood. 2. LITERATURE SURVEY: The process of multidimensional reduction by taking the primary data that is lowered to many other classes for sorting out or organizing.Emotion of a user is extracted by capturing the image of the user through webcam.The captured image is enhanced by the process of dimensional reduction by tracking the primary data. These data is converted into binary image format and the face is detected using Fisher Face and