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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58459

AI-Based Virtual Try-On System Using Computer Vision

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58459

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58459

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

1A

1Mr.Khan Ayimaan

2A

2Mr.Mohammed Arsalaan

3S

3Mr.Kubade Swayam

4S

4Mr.Mahimkar Sami

5S

5Ms.Nousheen Shaikh

6KS

6Mr.Ali Karim Sayed

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Abstract

As we see today, people are getting more lazy and want to do everything while sitting on the couch. Nowadays, many buy groceries, cutlery, and more online. They even stop going to stores to buy clothes and choose to shop for clothes on the internet.But this causes some problems for the buyers. For example, when a person buys clothes in a store, they can see the cloth and try it on to check how it fits and looks. But when they buy online, they sometimes get clothes that do not look good on them or do not fit right.To fix this, we made a new kind of software that helps solve this problem. This software uses what is called Virtual Try-on. It allows the buyer to see how a piece of clothing will look on their body befo/re they buy it.The software works with image processing and pose detection. We used Python, OpenCV, and Den-Pose (Pipeline) to build this project. The main goal of this project is to give better service to the customer..

KEYWORDS

Virtual Try-On Computer Vision Image Processing Pose Detection Artificial Intelligence

Cite This Article

1Mr.Khan Ayimaan, 2Mr.Mohammed Arsalaan, 3Mr.Kubade Swayam, 4Mr.Mahimkar Sami, 5Ms.Nousheen Shaikh, 6Mr.Ali Karim Sayed, "AI-Based Virtual Try-On System Using Computer Vision," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58459

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Publication Date

3/28/2026

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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