Custom Cart – Virtual try-on in e-commerce platforms using generative AI
Abstract
Abstract—Custom Cart is a virtual try-on e-commerce system that uses generative AI to Allow users to virtually try-on different clothing. The system enables customers to upload their photo and visualize themselves wearing clothing of their selection, simulating an in-store fitting room. This feature reduces uncertainty about their purchases, minimizing return rates. The platform leverages COMFYUI, a Python-based framework, that works by using different nodes to process images and generate realistic try-on results. By integrating large language models for masking and creating segments in the user's image and image-generation AI, Custom Cart will improve personalization, improve user engagement, and enhance the overall e-commerce experience. The combination of fast processing speeds, with the use of high-speed servers and advanced AI models makes it a promising solution for the future of online fashion retail.
Keywords:
Generative Artificial Intelligence, Large Language Models, Virtual Try-On, Computer Vision,, Sustainable Technology, Artificial Intelligence, E-commerce Application.Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Dr.Amal M R, Allen Joseph, Jishnu suresh, Abhijith selvam, Aravind A S, AI Based Multi Robot Fire Suppression System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nebin Mathew John, Vivek Manojkumar Nair, Sam Stephen Thomas, Blockchain Enhanced Web Application for Anonymous Drug Abuse Reporting and Recovery in the Indian Context , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aiman Shahul, L Pavithra, Eldhose KV, S Thasni, Dany Jennez, S Resmara, Sand Battery Technology: A Promising Solution for Renewable Energy Storage , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Alan Joseph, A K Abhinay, Dr. Gee Varghese Titus, Anagha Tess B, Adham Saheer, Fabeela Ali Rawther, Comparative Analysis of Text Classification Models for Offensive Language Detection on Social Media Platforms , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- V Naveen, S Rekha, A Concise Review On E-Commerce Website For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anna Jose, Anit Devesiya, Albin Scaria Sabu, Anand Baby John, Prof.Maria Yesudas, AMIGO APPLICATION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Athul Das, Dan Kuruvilla, Amrutha P Chandran, Blesson V Monichan, Elias Janson K, TRIMBOT: AUTONOMOUS GRASS CUTTING ROBOT USING GPS NAVIGATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- NS AkhilRaj, Snehil Jacob Raju, John Basil Varghese, Sreeraj K S, Yadukrishnan P, Directio-AR Assisted ShopMate , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Shiney Thomas, Elsa George, Alphonsa Francis, Anna Job, Ann Maria James, Wildlife Detection And Recognition Using YOLO V8 , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
