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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45713

Virtual Wardrobe

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45713

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45713

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

SV

Shinde Vaishnavi1

SS

Shelke Supriya2

GP

Gawade Pratiksha3

KP

Karpe Prachi4

P

Prof.A.H.Pawar

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Abstract

The rise of e-commerce, especially in fashion, has transformed the shopping experience, but it has also brought challenges such as the inability to physically try on clothing before purchase. This paper presents an Android-based 2D virtual try-on application designed to enhance online clothing shopping by providing users with an interactive and personalized fitting experience. The system utilizes advanced image processing techniques, including background removal, resizing, and alignment, along with machine learning models for pose detection and segmentation, to accurately overlay clothing on the user’s image.

KEYWORDS

Android processing 2D try-on shopping

Cite This Article

Shinde Vaishnavi1, Shelke Supriya2, Gawade Pratiksha3, Karpe Prachi4, Prof.A.H.Pawar, "Virtual Wardrobe," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45713

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Publication Date

4/24/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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