FIT N STYLE

Abstract

Online shopping in the fashion industry often falls short in addressing two major concerns of users: uncertainty about correct size and difficulty visualizing how products will look when worn. These challenges can lead to low customer satisfaction, high return rates, and hesitation in purchasing. This mini project presents Fit N Style, a fashion-focused web application aimed at transforming the online shopping experience through personalization and intelligent user interaction.
The system allows users to register, explore a catalog of clothing items, and interact with innovative features such as Size Fitting and Virtual Try-On. By enabling users to input their body measurements and visualize garments in real time, the platform provides a more confident and tailored shopping journey. Additionally, users can manage shopping carts and preferences, while sellers or administrators can add and update product listings.
By integrating user-centric features with an intuitive interface, Fit N Style bridges the gap between traditional e-commerce and personalized retail. The system aims to reduce uncertainty, enhance user engagement, and set a foundation for future smart fashion platforms powered by AI and computer vision.