Proceedings of the Conference on Technologies for Future Cities (CTFC 2025)

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Roop: An AI-Powered Virtual Try-On Platform

Authors
Siddhi P. Paradhi1, *, Saniya Jitekar2, Satyaja Shivthare3, Gaurav Jha4, Monika Bhagwat5
1Department of Electronics and Computer Science Engineering, Pillai College Of Engineering, University Of Mumbai, New Panvel, India
2Department of Electronics and Computer Science Engineering, Pillai College Of Engineering, University Of Mumbai, New Panvel, India
3Department of Electronics and Computer Science Engineering, Pillai College Of Engineering, University Of Mumbai, New Panvel, India
4Department of Electronics and Computer Science Engineering, Pillai College Of Engineering, University Of Mumbai, New Panvel, India
5Department of Electronics and Computer Science Engineering, Pillai College Of Engineering, University Of Mumbai, New Panvel, India
*Corresponding author. Email: psiddhi22ecs@student.mes.ac.in
Corresponding Author
Siddhi P. Paradhi
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-650-0_22How to use a DOI?
Keywords
Virtual try-on; generative adversarial networks; computer vision; sustainable fashion; deep learning; mobile application; skin tone analysis; thrift verification
Abstract

This project showcases ROOP, a mobile app that innovates the online fashion retail experience with features like AI-powered virtual try-on, personalized color analysis, and a thrift shopping experience focused on sustainability. The system consists of a three-stage deep learning pipeline that uses a U-Net model for body segmentation, a Geometric Matching Module for clothing warping, and attention-based synthesize clothing for photorealistic visualization of clothing fit. Skin tone classification achieved 94 percent accuracy utilizing Support Vector Machine and Random Forest classifiers to provide personalized color suggestions. The thrift market place uses Convolutional Neural Networks to verify the quality of second-hand garments in an automated way. Developed with React Native, users can upload images of themselves, visualize garments, and receive pre-authenticated thrift items through one interface.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Conference on Technologies for Future Cities (CTFC 2025)
Series
Atlantis Highlights in Sustainable Development
Publication Date
20 April 2026
ISBN
978-94-6239-650-0
ISSN
3005-155X
DOI
10.2991/978-94-6239-650-0_22How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Siddhi P. Paradhi
AU  - Saniya Jitekar
AU  - Satyaja Shivthare
AU  - Gaurav Jha
AU  - Monika Bhagwat
PY  - 2026
DA  - 2026/04/20
TI  - Roop: An AI-Powered Virtual Try-On Platform
BT  - Proceedings of the Conference on Technologies for Future Cities (CTFC 2025)
PB  - Atlantis Press
SP  - 326
EP  - 338
SN  - 3005-155X
UR  - https://doi.org/10.2991/978-94-6239-650-0_22
DO  - 10.2991/978-94-6239-650-0_22
ID  - Paradhi2026
ER  -