AI Stylist: GPT-4 Powered Fashion Recommendation System
Key Plans
Build a personalized stylist app using GPT-4 API to generate occasion- and style-specific fashion recommendations from the scraped product catalog in my previous project
Using scraped and structured 10K+ fashion items from Alo Yoga, Lululemon, and Athleta using Selenium and Google Sheets API, enrich unstructured descriptions using GPT-4 to extract and tag style attributes (e.g., “minimalist,” “loungewear,” “yoga-ready”)
Integrate retrieval-augmented generation (RAG) to match user queries with relevant catalog items, enabling a conversational styling experience via Streamlit interface
