Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1224
Title: Virtual Dressing Room: Smart Approach to Select and Buy Clothes
Authors: Weerasinghe, S.W.P.N.M.
Rajapaksha, R.M.D.D.
Sathsara, L.G.I.
Gunasekara, H.S.D.N.
Wijendra, D.R.
De Silva, D.I.
Keywords: 3D model
Artificial Intelligence
Machine Learning
Image Processing
Root Mean Square Error
Issue Date: 9-Dec-2021
Publisher: 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
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.
URI: http://rda.sliit.lk/handle/123456789/1224
ISSN: 978-1-6654-0862-2/21
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE

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