This project explores how AI and 3D visualization can transform the way people experience clothing online.
The goal was to create a system where users can see how garments fit their body before purchasing, reducing uncertainty and bringing a more physical, real-world feel into digital shopping.
Customers often struggle to understand how clothing will look and feel on their body, leading to hesitation, low confidence, and high return rates.
I designed a virtual fitting experience that combines AI body estimation with 3D garment simulation.
The system focuses on both accuracy and visual clarity, making the experience intuitive and engaging.
A focused workflow combining UX thinking, 3D creation, and AI concepts to build a realistic virtual fitting experience.
Defined the core issue of online shopping, uncertainty in fit, and shaped a solution around clarity and confidence.
Designed a simple, visual-first flow where users can generate a body model and instantly preview clothing.
Built adaptable body models and garments with clean topology, optimized for real-time interaction.
Optimized performance and simplified the experience through multiple refinements.
The result is a concept-driven prototype that demonstrates how AI and 3D can reshape digital fashion experiences.
It brings users closer to the product—turning passive browsing into an interactive, confidence-driven decision process.