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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Paper Title: Virtual Cloth
Authors Name: Sanika Weljali , Pallavi Kale , Saloni Khivansara , Kalyani Gangurde
Unique Id: IJSDR2211143
Published In: Volume 7 Issue 11, November-2022
Abstract: The clothing industry portrays a major part of a respective country`s economy. Due to the predilection for clothing items of the people have led to the increasing of physical and online clothing stores in all around the world. Most of the people are used to go to the physical shopping and purchase their desired clothing items. But, as a consequence of the current pandemic situation, most of the people are unable to step out from their homes. This application is intended to cater an opportunity to the customers, who are not able to reach the physical clothing stores due to a pandemic situation and mobility difficulties. In addition, this application diminishes the time wastage, clothing size mismatches and the lesser user satisfaction ratio inside a physical clothing store. A customized 3D model has featured in the application to cater the virtual fitting experience to the customer. And the AI chatbot assistant in the application interacts with the user while catering virtual assistance for a better cloth selection process. In addition to that, this application has concentrated on the clothing shop by providing a future sales prediction component utilizing the K-Nearest Neighbors algorithm to provide an aid to their business commitments.
Keywords: machine learning, image processing, e-commerce, shopping.
Cite Article: "Virtual Cloth", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.984 - 986, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211143.pdf
Downloads: 000150706
Publication Details: Published Paper ID: IJSDR2211143
Registration ID:202762
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 984 - 986
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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