International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 04 | Apr 2021 www.irjet.net p-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 395 Moodify: Smart Music Player based on Facial Emotions M. Srinayani 1 , P. Naga Jahnavi 2 , S.Kavishree 3 1 Student, Dept. Of Computer Science and Engineering, Sri Chandrasekharendra Saraswati Viswa Mahavidyalaya, Kanchipuram, Tamil Nadu, India 2 Student, Dept. Of Computer Science and Engineering, Sri Chandrasekharendra Saraswati Viswa Mahavidyalaya, Kanchipuram, Tamil Nadu, India 3 Assistant Professor, Dept. of Computer Science and Engineering, Sri Chandrasekharendra Saraswati Viswa Mahavidyalaya, Kanchipuram, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Human emotions play a crucial role in analyzing the mood of an individual. Emotions of a person could be understood through various features of the face such as eyes, cheeks, or even through the smile on the face. Music is an art form that helps an individual to calm their body and brain. Our project deals with the blending of emotions and music. The proposed system detects the emotions of the individual through facial expressions and plays the music according to the mood detected. The expressions of the face could be happy, sad, angry, neutral, etc. The emotions on the face can be detected and captured through a webcam or an inbuilt camera. The emotions of an individual from the captured image could be detected using Fisherface Algorithm. Once the emotion is recognized, the system suggests a playlist for that emotion and plays the music automatically. Key Words: Emotion Recognition; music recommendation; Facial Extraction; Real-time capturing images. 1. INTRODUCTION In today’s world, music acts as a major source of entertainment. People prefer to listen to songs according to their mood. Selecting and sorting the songs manually would take a lot of effort and time. With the advent of technology, there are many music players which provide facilities such as adding songs to the queue, adjusting the playback speed, etc. Although these features satisfy the basic needs of the user, it fails to sort the songs according to the mood of the user. There are several techniques that determine the mood of the user and play the songs automatically but, they require few additional hardware devices such as physiological sensors, EEG. These devices and techniques often fail to provide accurate results. Moodify is an immersive, sophisticated, and creative website that determines the mood of an individual and automatically plays the songs according to their mood. It also provides efficient and accurate results than the existing systems as it does not require any additional hardware. Figure -1: Various Music Player Systems 2. LITERATURE REVIEW Here are few research papers which are associated with current system which includes the description of the respective system. Banpreet singh Chhabra (2020), Emophony is an application that suggests songs according to the emotions and interests of the individual. It utilizes an artificially intelligent system to recognize emotions through facial expressions. Once, the emotion of the individual is detected, the system automatically plays music accordingly and suggests a playlist of different genres based on the mood of the individual. Here, FER- 2013 data set is utilized for training the model. The data set consists of emotions like fear, disgust, surprised, etc. H.Immanuel James, J.James Anto Arnold, J.Maria Masilla Ruban, M.Tamilrasan, R.Saranya (2020), the human face plays a vital role in determining the mood of an individual. The system uses a webcam to capture the face of an individual to later detect the emotion of the user. It uses techniques such as image