Smart Clothing Size Recommendation System for E-Commerce Using AI

Online clothing shopping is rapidly becoming the preferred mode of purchase for customers worldwide. However, one of the major challenges faced by both customers and sellers is the inconsistency of clothing sizes across different brands. A “Medium” size in one brand may correspond to a “Small” or “Large” in another, causing confusion and dissatisfaction among buyers. As a result, many customers receive garments that do not fit properly, leading to product returns and cancellations. This increases operational costs for sellers and reduces customer trust in online shopping platforms. To address this issue, the proposed project introduces a Smart Clothing Size Recommendation System that utilizes Artificial Intelligence (AI) and Computer Vision to generate accurate and personalized size suggestions for users. The system analyzes user-provided images, extracts body measurements, and maps them with brand-specific size charts. A web application enables users to upload images and instantly receive recommendations of suitable size. The system aims to reduce return rates, improve customer satisfaction, and create a reliable and user-friendly online shopping experience.

Poster