Mood Based Music Recommendation System
Author(s):
Anubhav Kumar, Anshu Sharma, Abhishek, Aditya Rajpoot, Aditya Singh, Ayushi Chaudhary
Keywords:
Face Recognition, Image Processing, Computer Vision, Emotion Detection, Music, Mood Detection, Content-Based Filtering, Mental Health, Machine Learning.
Abstract
Psychological research has demonstrated that music effectively relieves stress, elevates mood, and triggers the release of neurochemicals such as oxytocin, serotonin, and dopamine. Consequently, music is widely utilized in therapeutic settings and rehabilitation centers for various disorders. As global mental health issues escalate, it is increasingly critical to address these concerns with innovative solutions. Existing music recommendation systems are inadequate in holistically addressing user needs, with few offerings mood-based recommendations and even fewer integrating therapeutic benefits tailored to specific situations. Given the widespread reliance on music for enhancing cognition, memory, and sleep quality, while reducing anxiety, pain, and blood pressure, there is a pressing need for a comprehensive product that maximizes these benefits. Our proposed system introduces a mood-based music player that performs real-time mood detection and recommends songs accordingly, enhancing traditional music player apps with this additional feature. This system aims to analyze user images, predict emotional expressions, and suggest suitable music, thereby improving user satisfaction and overall mental health.
Article Details
Unique Paper ID: 164818

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 2262 - 2268
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers