AI Virtual Try-On — AI-Powered Fashion Visualization Platform

Frontend Repository

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Backend Repository

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Technologies

Next.js
React
TypeScript
shadcn/ui
Express
Hugging Face

Overview

A fashion technology platform that enables users to virtually try on garments by uploading an image and selected clothing. Powered by AI models from Hugging Face, the system generates realistic visualizations while maintaining a responsive and intuitive interface.

Key Features

  • Image & Garment Upload: Secure and seamless upload workflow for user images and garments.
  • AI-Powered Rendering: Accurate garment overlay using Hugging Face models.
  • Responsive UI: Adaptive interface optimized across devices and screen sizes.
  • Backend Integration: Express server managing AI model requests and data flow.

Engineering Wins

  • 1
    Successfully integrated third-party AI models for realistic virtual try-on generation.
  • 2
    Designed modular frontend architecture using shadcn/ui for maintainability and extensibility.
  • 3
    Optimized asynchronous request handling and error management for smoother UX.
  • 4
    Structured backend communication layer for scalability and future multi-garment support.

Impact & Vision

  • Provides an interactive and personalized virtual try-on experience.
  • Future roadmap includes reducing AI processing latency and expanding garment categories.
  • Establishes a foundation for advanced AI-driven fashion applications.

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