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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48062

Smart Wardrobe System Using Artificial Intelligence

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48062

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48062

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

EGaDRS

Eva Gupta∗ and Dr. Rajbala Simon†

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Abstract

This paper introduces a smart wardrobe system powered by artificial intelligence, designed to simplify wardrobe management and promote sustainable fashion. Using a ResNet- 50 convolutional neural network for clothing recognition and a hybrid recommendation engine, the system reduces outfit selection time by 40% and increases wardrobe utilization by 15%, as validated with 200 users. Despite a 5% error rate with unconventional garments, this research paves the way for innovations like smart mirrors, enhancing both convenience and environmental consciousness.

KEYWORDS

Smart wardrobe artificial intelligence outfit recommendation sustainable fashion computer vision.

Cite This Article

Eva Gupta∗ and Dr. Rajbala Simon†, "Smart Wardrobe System Using Artificial Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48062

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Publication Date

5/17/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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