AN E-COMMERCE WEBSITE WITH AN IMAGE-BASED PRODUCT SEARCHING FUNCTION

Abstract

The increasing demand for online shopping platforms, particularly in the fashion sector, has necessitated the development of efficient, scalable, and user-friendly e-commerce solutions. This project aims to build a robust fashion e-commerce website utilizing the MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS) to deliver a high-performance, scalable system. The backend is implemented using NodeJS and ExpressJS to create secure, efficient API endpoints that handle user authentication, product management, cart functionality, and order processing. On the frontend, ReactJS is combined with Tailwind CSS to design a responsive, visually appealing interface that enhances the user experience across devices. To manage the high-quality images required for fashion products, Firebase and Cloudinary are employed for cloud storage, ensuring efficient image handling, secure access, and optimized loading times. MongoDB serves as the database system to store and manage data related to products, users, categories, and orders, providing flexibility and scalability to accommodate business growth. This project also addresses critical challenges such as secure user sessions, real-time cart synchronization, and efficient order fulfillment processes. By integrating modern web technologies, this project provides a comprehensive solution that meets the needs of both online retailers and consumers, ultimately improving the shopping experience through seamless navigation, fast load times, and robust security. The outcome of this research contributes to the field of web development by demonstrating best practices in building scalable, cloud-integrated e-commerce platforms.