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

AI personal stylist — outfit suggestions, virtual try-on, and shopping compatibility powered by Groq LLM and IDM-VTON.

Agentic AI stylist that understands clothing images and style intent to recommend compatible outfits using multimodal search and hybrid retrieval.

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

Oufit Recommendation System based on the Weather Data

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

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

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

Style-conditioned compatibility scoring + tag normalization for outfit recommendation. CS 468 NLP Final Project.

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

AuraFit is an AI-powered fashion platform for the Pakistani market that scrapes real-time products from top brands and uses AI to generate smart outfit recommendations. It includes semantic search, AI stylist chat, virtual try-on, wardrobe management, favorites, and automated weekly scraping with intelligent style, color, and occasion matching.

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.

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