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@article{188116,
author = {Vaishnavi Patade},
title = {TryXpert: AI-Powered Conversational Fashion Try On},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {7},
pages = {925-932},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=188116},
abstract = {In recent years, the rise of online fashion shopping has transformed the way people discover and purchase clothing, yet many challenges still affect the overall shopping experience. Users often struggle with size selection, fit accuracy, style coordination, and visualizing how a garment would appear on their own body. These issues create uncertainty, reduce confidence, and increase the likelihood of product returns. Existing virtual try-on tools typically depend on static overlays, single-view images, or imprecise body representation, resulting in unrealistic visualizations that fail to provide the personalization users expect.
TryXpert introduces a novel artificial intelligence (AI)-powered conversational virtual try-on solution that overcomes these limitations through an advanced blend of real-time body scanning, augmented reality, and intelligent interaction. The system extracts accurate body measurements, constructs adaptive 3D models, and simulates garments with realistic fabric movement and texture preservation. Its conversational assistant adds a unique dimension by understanding natural language, analyzing user preferences, and providing personalized outfit and size recommendations. With multi-view garment rendering, detail-focused diffusion models, and privacy-aware data handling, TryXpert delivers a more immersive, accurate, and user-centric virtual fitting experience that strengthens user confidence and supports smarter online fashion decisions.},
keywords = {Augmented Reality, Body Measurement Extraction, Conversational AI, Fashion Technology, Virtual Try-On.},
month = {December},
}
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