 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: April 2026
Volume 11 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22653
Article Published : 8822
Total Authors : 23281
Total Reviewer : 825
Total Countries : 161
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-Based Virtual Try-On & Styling System |
| Authors Name: | Chaitali A. Wandhare , Vaishnavi J. Gongle , Isha D. Balki , Achal M. Bhagat , Mrs. Ketakee Ghawade |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_209815
|
| Published Paper Id: | IJRTI2602088 |
| Published In: | Volume 11 Issue 2, February-2026 |
| DOI: | |
| Abstract: | Artificial intelligence (AI) has greatly changed the fashion and vendor sector in numerous ways. Shopping online has been transformed, as have smart systems used to evaluate the characteristics of a person's body as well as the specifics of their chosen garments and any fashion preferences they may have. These entities have also enabled companies to offer customers customised experience. AI Based Virtual Try-On and styling technology allows customers to see clothing visually displayed as they would look on them as an item worn by a user digitally. To achieve a realistic perception of how the configuration fits a customer, the technology uses machine learning and image-processing algorithms. In addition, the AI Based Virtual Try-On & Styling System will provide users with personalised outfit recommendations that incorporate existing fashion trends and preferences. The access that vendors have to this type of technology is enabling them to reduce their return rates by increasing customers confidence when buying through the online channel, thereby facilitating improved decisions by consumers in making purchasing decisions. Body features, detail and style of clothing combined with the wearer’s own preferred style will produce realistic projections of possible outfits and provide suggestions that are specific to each customer's individual needs. By alleviating concerns about the fit, size, and appearance of an item, this technology helps to increase customer confidence and satisfaction with their online shopping experiences. This also helps to reduce the return rates and improve overall efficiencies, demonstrating its potential value as a tool on many modern fashion technology platforms. |
| Keywords: | Artificial Intelligence, Virtual Try On, Fashion Styling, Machine Learning, Image Processing, Personalized Recommendation, E Commerce. |
| Cite Article: | "AI-Based Virtual Try-On & Styling System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.a654-a657, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602088.pdf |
| Downloads: | 000100 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2602088
Registration ID:209815
Published In: Volume 11 Issue 2, February-2026
DOI (Digital Object Identifier):
Page No: a654-a657 Country: Ramtek, Nagpur, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2602088 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2602088 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||