A full-stack context-aware productivity-focused recommendation system
This GitHub page presents the official code and resources for our research on LLM-Driven Temporal User Profiling (LLM-TP) for recommender systems. The project focuses on a modular framework that leverages Large Language Models (LLMs) to create rich, context-aware user profiles.
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.
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