Emotion based Music Recommendation using Face Recognition

Anjali Salvi , Prajakta Shevkar , Harshil Kanakia

facial recognition, machine learning, emotion-based recommendation system

In an age propelled by cutting-edge technology and data analytics, emotion-based music recommendation systems have risen to paramount significance. This project introduces an innovative approach to elevate the music recommendation process by incorporating advanced technologies. By combining the functionalities of Mediapipe, Keras, OpenCV, and Streamlit, our system utilizes facial recognition, machine learning, and real-time analysis to identify and interpret the user’s emotional state. By analyzing facial expressions and emotional cues through a Streamlit web application with integrated Streamlit-webrtc webcam capture, the system tailors music suggestions to harmonize with the user’s mood. This amalgamation of technologies creates a personalized and emotionally resonant music selection, ultimately enriching the user’s auditory experience. This research contributes to the burgeoning domain of emotion-based recommendation systems, paving the way for more perceptive and emotionally-aware technology applications.

Published Paper   E-Certificate

"Emotion based Music Recommendation using Face Recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b86-b89, October-2024, Available :https://ijnrd.org/papers/IJNRD2410111.pdf

Volume 9 Issue 10, October-2024

Pages : b86-b89

Paper Reg. ID: IJNRD_301131

Published Paper Id: IJNRD2410111

Downloads: 00027

Research Area: Science and Technology

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410111

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410111

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition