AI-Powered Image-to-Music Recommendation System

Author(s)	Shreya Bhatt
Country	India
Abstract	Artificial intelligence (AI) has transformed music recommendation systems. Most existing approaches rely on textual inputs, user behavior, or facial emotion recognition, limiting their ability to incorporate visual context. This paper explores a novel approach by developing an AI-powered system that analyzes images and suggests songs based on their mood, color scheme, and aesthetic. We employ deep learning techniques, including Convolutional Neural Networks (CNNs), to extract image features and map them to music characteristics. Our findings highlight the potential for image-driven music recommendations to enhance user experience across various applications.
Keywords	Keywords: AI-driven music recommendation, image-based analysis, deep learning, mood recognition, multimodal AI, personalized music.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-07-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.51458
Short DOI	https://doi.org/g9vpgz

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research