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Paper Title

AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization

Authors

S.Sangeetha , S.Abinaya , B.Akhilashree , A.Madhumitha

Keywords

Augmented Reality, Artificial Intelligence, Vir- tual Try-On, Computer Vision, MediaPipe, FastAPI, Real-Time Processing, Landmark Detection

Abstract

The rapid growth of e-commerce and digital plat- forms has significantly increased the demand for interactive and realistic product visualization systems. Traditional methods such as images and videos often fail to provide a clear understanding of how products appear in real-world environments, leading to uncertainty in user decision-making. This paper presents an AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization that enables users to interact with virtual objects through a live camera feed. The proposed system integrates a Unity-based augmented reality environment with a Python backend using FastAPI for efficient real-time communication. Computer vision techniques are implemented using OpenCV for image processing, while MediaPipe is used for accurate detec- tion of facial, hand, and body landmarks. The system supports multiple detection modes, including face-based glasses try-on, hand-based watch placement, pose-based dress visualization, and surface detection for environmental interaction. The detected landmark data is converted into JSON format and transmitted back to Unity, where virtual objects are aligned using anchor-based positioning techniques. Experimental results demonstrate that the proposed system achieves accurate feature detection, stable object alignment, and low-latency performance during real-time interaction. The system effectively combines artificial intelligence and augmented reality to enhance user experience and provides a scalable solution for applications in e-commerce, fashion, and interactive visualization.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.i198-i205, April 2026, Available :https://ijcrt.org/papers/IJCRT2604958.pdf
APA — 7th edition
S.Sangeetha, S.Abinaya, B.Akhilashree, & A.Madhumitha. (2026). AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization. International Journal of Creative Research Thoughts, 14(4), i198-i205. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958
MLA — 9th edition
S.Sangeetha, et al. "AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. i198-i205, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958.
Chicago — 17th, bibliography
S.Sangeetha, et al. "AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization." International Journal of Creative Research Thoughts 14, no. 4 (2026): i198-i205. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958.
Harvard — author–date
S.Sangeetha et al. (2026) 'AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization', International Journal of Creative Research Thoughts, 14(4), pp. i198-i205. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958
IEEE — numbered reference
S.Sangeetha, S.Abinaya, B.Akhilashree and A.Madhumitha, "AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization," IJCRT, vol. 14, no. 4, pp. i198-i205, Apr. 2026.
Vancouver — biomedical
S.Sangeetha, S.Abinaya, B.Akhilashree, A.Madhumitha. AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization. IJCRT. 2026 Apr;14(4):i198-i205.
AMA — 11th edition
S.Sangeetha, S.Abinaya, B.Akhilashree, A.Madhumitha. AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization. IJCRT. 2026;14(4):i198-i205. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604958, author = {S.Sangeetha and S.Abinaya and B.Akhilashree and A.Madhumitha}, title = {AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {i198-i205}, year = {2026}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958} }
RIS — EndNote, RefWorks
TY - JOUR AU - S.Sangeetha AU - S.Abinaya AU - B.Akhilashree AU - A.Madhumitha TI - AI-Driven Augmented Reality System for Real-Time Virtual Try-On and Visualization T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604958 SP - i198-i205 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : i198-i205

Article Information

Pages
i198-i205
Published
April 2026
Registration ID
IJCRT_305372
Published Paper ID
IJCRT2604958
Research Area
Science and Technology
Author Type
Indian Author
Location
India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
170

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International Journal of Creative Research Thoughts Published by IJCRT Publication
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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