AI-powered fashion visual search and personalized styling assistant using CLIP, FAISS, and Gemma-3B in Streamlit. Search visually similar fashion items, simulate user history, and generate outfit suggestions using LLMs.

👔 FitCheck.AI is your personal AI stylist. Upload outfits for savage critiques, auto-tag your wardrobe, and get smart recommendations - powered by Streamlit, LangChain, MongoDB, and VLMs like CLIP and Qwen.

Clothy - AI穿搭闺蜜，智能衣橱管理与搭配推荐

WARDROBE AI | AI wardrobe recommendation PWA 智慧穿搭推薦系統

An AI-powered wardrobe management system that helps users organize clothing, get personalized outfit recommendations, and promote sustainable fashion through community sharing.

Try live: outfitdb.onrender.com — Local-first wardrobe app (formerly ClosetMind) that learns your sense of temperature, aesthetic, and occasion, then suggests outfits from your own closet (incl. combos you'd never have tried). Three-stage XGBoost + 11-table SQLite, no cloud, no account.

This is an implementation of the paper : OutfitTransformer: Learning Outfit Representations for Fashion Recommendation.

Local wardrobe assistant: Ollama Vision + SQLite → 3 outfit ideas (safe/clean/bold). CLI & Streamlit. No cloud APIs.

Hybrid outfit recommendation system using SVD-based collaborative filtering and deep learning concepts.

Oufit Recommendation System based on the Weather Data

ORS aka Outfit Recommendation System is made by me and my friend for 3rd year project based on a dataset it gives outfit suitable for seasons . it is deployed using vercel . it uses simple ML code to be working . it is created with flask and tailwindcss and js too