AI Clothing Recommendation Web App

Project Overview

This project is an AI-based web application that learns the user’s style and preferences to recommend personalized outfits.
Beyond a simple wardrobe management app, it aims to provide an intelligent recommendation service that reflects weather, style, and gender data.

Key Features

• 👕 Personalized Outfit Recommendations
  The AI suggests outfit combinations based on the user’s profile (gender, age, and preferred style)
• 🌤️ Weather-Linked Recommendations
  Automatically incorporates current local weather data to recommend outfits suitable for the situation
• 🧥 Virtual Wardrobe Management
  Allows users to upload clothing images, categorize them, and preview outfit combinations
• ⭐ Favorites & Refresh Function
  Save favorite outfits and instantly refresh to discover new styles
• 📱 Responsive UI / PWA Support
  Works seamlessly on mobile devices and can be installed like a native app

Tech Stack

• Frontend: Vue 3, TypeScript, Pinia, TailwindCSS
• Backend: FastAPI (Python), RESTful API design
• AI Model: PyTorch-based clothing style analysis and recommendation algorithm
• Deployment: AWS EC2, PM2, GitHub Actions CI/CD

Project Significance

Clothing choices go beyond personal taste — they are a form of self-expression and data.
This web app provides a personalized fashion experience based on user data,
demonstrating how AI can offer practical assistance in everyday life.