
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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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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E-ISSN 2582-2160

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IJFMR DOI prefix is
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