Paper Title
AI-Powered Virtual Fashion Try-on System for Realistic Garment Visualization and Secure Online Shopping

Abstract
Themost significant downside that online fashion retailing platforms usually haveto face is the customers' inability to accurately perceive garments on the body. This negativity generates uncertainty about the size, fit, and, ultimately, about the customer's dissatisfaction whichalsocausesahighreturnrate. To dealwiththesedifficulties,thisresearchprojectintroducesanAI- based virtual fashion try-on system that permits consumers to see clothing items in a very realistic way before making a decision to buy.Userscanuploadtheirphotosandseehowtheselectedoutfits are perfectly fitted to their body shape without any hassle. The framework that has been suggested relies on human pose estimation, depth analysis, and 3D bodymodeling, among others, all of which are typically regarded as advanced techniques of computer vision and deep learning, to achieve precise alignment alongwiththenaturalbehaviorofthefabric.Thesystem,bytaking the body posture and the spatial dimensions, is capable of generating very realistic results in terms of garment draping, movement, and fitting, which are very close to the real-world wearing conditions. This, in turn, boosts the user's confidence while selecting clothes online. Keywords - Virtual Try-On, Artificial Intelligence, Computer Vision, Pose Estimation, 3D Body Modeling, Online Fashion Retail, Privacy-Preserving Systems, Redis Database, Deep Learning