FitCheck - Virtual Try-On

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Project Overview

Project Info

Category Beauty
Year 2024
Country
United States

Deliverables

Android App iOS App

Technologies

AI AWS Firebase Flutter MySQL PHP Python

FitCheck is an AI-powered virtual try-on application designed to help users visualize how garments look on them using their own images. The app combines selfie-based avatars with AI-generated previews to create a personalized and interactive fashion experience.


Avatar & Image Setup

Users can take a selfie and create a personalized avatar within the app. This image becomes the base for virtual try-ons, allowing garments to be visualized in a way that feels realistic and user-specific. Users also have access to profile updates to keep their appearance and preferences current.


Virtual Try-On Experience

FitCheck enables users to perform virtual try-ons by applying garment images to their own avatar. Users can select clothing images from within the app or directly from external sources. When browsing a garment in a third-party app, users can simply share the image to FitCheck and instantly generate a virtual try-on preview.


Organization & Categories

The app allows users to create categories and store AI-generated try-on images in an organized manner. This helps users manage multiple outfits, compare styles, and revisit saved looks easily.


Platform Highlights

  • Selfie-based avatar creation for personalized try-ons
  • AI-powered garment visualization using user images
  • Share-to-app support for trying garments from third-party apps
  • Category-based organization of generated images
  • Profile update and customization access


Project Value

FitCheck showcases the ability to build an AI-driven consumer application that blends image processing, user personalization, and seamless app integrations. By enabling virtual try-ons from both in-app and external sources, the project demonstrates a modern fashion-tech solution focused on convenience, engagement, and visual decision-making.

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