A smart fashion web app built with Python (Flask) that recommends personalized outfits based on user profiling and AI analysis. It includes features like real-time virtual try-on with OOTDiffusion, skin tone & demographic detection using DeepFace, and outfit recommendations powered by TensorFlow, Gemini API, and PyTorch.

Gen AI-Powered Virtual Try-On Clothes Platform Upload any model and garment image to preview realistic try-on results instantly. Built with Google Gemini, FastAPI, and React. Ideal for fashion, retail, and e-commerce.

🖼️ Create stunning fashion photoshoots using AI-generated models, transforming the way brands showcase their clothing in minutes.

👕 Create unique custom merchandise in minutes with Custyle's AI MerchAgent™, transforming ideas into designs for T-shirts, hoodies, and more.

Custyle — The World’s First AI MerchAgent™. From idea to merch in minutes: create T-shirts, hoodies, totes, and more with AI-powered design, try-on, and fulfillment.

AI fashion model photoshoot SaaS web app.

Never wonder "what to wear" again—upload your clothes, swipe through combinations, and see photorealistic try-ons instantly.

A Flask API and test web app for ComfyUI-based virtual try-on workflows using VTON models.

Look your best without the photoshoot. Suitify helps you bridge the gap between casual and professional by using AI to craft the perfect suit for your existing photos. Perfect for your next career move, LinkedIn refresh, or team directory. Fast, private, and exceptionally simple to use.

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

Este repositorio contiene un proyecto de aprendizaje profundo que utiliza TensorFlow para entrenar un modelo en el dataset Fashion MNIST. El modelo se implementa en Google Cloud Vertex AI, y está diseñado para la clasificación de artículos de moda.

AI-Powered Clothing Recommender – Smart Styling System for Boutique Platforms. A graphical Windows-based clothing recommender system built with Python, designed for boutique-scale fashion platforms. Users input personal attributes (age, height, weight, skin tone, eye color, hair color, clothing size), and receive personalized outfit suggestions.

AI-powered virtual styling platform: generate a digital model from biometrics, create try-on outfits with Gemini, and manage a curated fashion lookbook with a custom React + FastAPI stack.