FitFun_with_fashion_recommender

Python prototype RAG LLM Flask
Publish Date:   2025-04-28

Abstract

This project is an AI fashion matching recommendation system based on the Retrieval-Augmented Generation (RAG) architecture. It aims to provide personalized fashion item recommendations based on users’ input, including gender, current season, skin tone type (based on the four-season color theory), and body measurements (used to infer general size suggestions from height and weight). Additionally, it leverages large language models (LLMs) to generate natural-sounding recommendation rationales;

Detailed Design

Author: Kaiyin Huang
Link: https://kaiyinhuang.github.io/FitFun%20with%20fashion_recommender/
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Python prototype RAG LLM Flask
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FitFun_with_fashion_recommender FitFun_with_fashion_recommender
This project is an AI fashion matching recommendation system based on the Retrieval-Augmented Generation (RAG) architecture.
Apr 28, 2025 Kaiyin Huang
Python prototype RAG LLM Flask
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