International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

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

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