Emotify-Emotion Based Music Player

Registration ID: IJNRD_195138

Published ID: IJNRD2305381

DOI: Click Here to Get

Mohd Areeb , Ritik Sahu , Sakshi Singh , Sanyam Jain , Ajay Kumar

Activity Detection, Face Recognition, Convolutional Neural Network

This research paper presents a novel approach to the problem of emotion-based music selection through the development of an emotion-based music player using Convolutional Neural Networks (CNNs) for facial expression recognition. Emotions play a significant role in music selection, and this project aims to bridge the gap between emotions and music by creating an app that can detect a user's facial expression through a webcam interface and suggest relevant songs based on the detected emotion. The project extensively studies emotions, exploring their psychological, physiological, neurological, and cognitive aspects. Through a literature review, previous research papers on emotion detection using CNNs are examined, highlighting the effectiveness of CNNs in classifying emotions from facial expressions. The methodology involves the development of an app that utilises OpenCV for face detection and a CNN model trained on the FER2013 dataset for emotion classification. The app maps the detected emotion to the respective music genre and provides relevant song suggestions to create a calming effect on the user's mind. The significance of this research lies in its contribution to understanding the role of emotions in music selection and providing a hands-free music streaming service that enhances the user experience. The findings of this project highlight the potential of CNNs in solving emotion-based problems and open doors for further research in affective computing and the intersection of emotions and music.

Published Paper   E-Certificate

Mohd Areeb, Ritik Sahu , Sakshi Singh, Sanyam Jain, & Ajay Kumar (May-2023). Emotify-Emotion Based Music Player. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d650-d652. https://ijnrd.org/papers/IJNRD2305381.pdf

Volume 8 Issue 5, May-2023

Pages : d650-d652

Paper Reg. ID: IJNRD_195138

Published Paper Id: IJNRD2305381

Downloads: 000122004

Research Area: Computer Science & Technology 

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305381.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305381

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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