Adaptive Music Recommendations Based on Real-Time Mood Detection

Adaptive Music Recommendations Based on Real-Time Mood Detection

Registration ID: IJNRD_226533

Published ID: IJNRD2408264

DOI: Click Here to Get

Vrushali D. Dharmale , Neha Kale , Saumitra Chaubey , Sanjana Molawade , Rushikesh Gondane,Arnav Kadam

Face Authentication, Image Editing, Computational Vision, Mood Recognition.

In the modern era, where technology seamlessly integrates with daily life, the enduring power of music as a medium for emotional expression and solace remains profound. "MOODY BLUES" is an innovative project that bridges the gap between emotion and music by introducing a facial emotion-based music recommendation system. This system leverages real-time emotion recognition to curate personalized and emotionally resonant listening experiences. Central to the project is a sophisticated emotion detection algorithm, utilizing deep learning and computer vision techniques to interpret users' emotions from their facial expressions. User profiles, which encompass music preferences, listening history, and emotional feedback, serve as the foundation for crafting dynamic, real-time music recommendations. Integration with popular music streaming platforms ensures a seamless transition from recommendations to listening. The project prioritizes privacy and ethical data handling, providing users with control and transparency over their data. A robust feedback loop allows users to influence their musical journey, refining future suggestions based on ratings and comments. "MOODY BLUES" aims to reshape the landscape of music recommendation by harmonizing with the ebb and flow of human emotions, highlighting the potential of technology to enhance the emotional richness of our lives.

Published Paper   E-Certificate

"Adaptive Music Recommendations Based on Real-Time Mood Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.c572-c575, August-2024, Available :https://ijnrd.org/papers/IJNRD2408264.pdf

Volume 9 Issue 8, August-2024

Pages : c572-c575

Paper Reg. ID: IJNRD_226533

Published Paper Id: IJNRD2408264

Downloads: 00095

Research Area: Computer Science & Technology 

Country: Airoli, Navi Mumbai. Dist: Thane , Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2408264.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408264

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

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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