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.

A self-hosted wardrobe app with weather-aware outfit suggestions, AI integration via MCP, wear tracking, favourites, a nail polish collection, and a sassy snail who names your outfits. Free. Open source. No subscription fees for your own data. Customisable with a single config file.

An AI-powered personal styling and shopping assistant integrated with WhatsApp for the fashion brand Avotangi. Built using n8n and Generative AI.

K-Tone Palette is a K-pop–inspired personal color analysis app that helps users discover their color season and experiment with hair colors, palettes, and styling vibes — all in a playful, shareable format inspired by the viral Korean color analysis trend.

Local, model-agnostic agent that builds your wardrobe from email receipts and reasons about what to own, what's missing, and what to buy next.