E-COMMERCE WEBSITE WITH PRODUCT RECOMMENDATION

Abstract

With the increasing demand for laptops and related accessories for both educational and entertainment purposes, e-commerce platforms specializing in electronic devices are racing to upgrade in order to meet the needs of users. Therefore, having a platform offering essential features, personalized functionality, user-friendly design, and scalability has become a crucial demand for store owners. This thesis aims to address this need by developing a robust e-commerce website that not only allows users to easily find and purchase their desired products but also delivers a seamless user experience. The proposed platform will include key features such as user registration, login, password recovery, and core e-commerce functionalities. Additionally, it will integrate a recommendation system to suggest the most suitable products based on user preferences. Leveraging Amazon Web Services (AWS), a trusted cloud computing provider used by leading global companies, the platform ensures high performance, scalability, and reliability. This project aspires to create a comprehensive, accessible, and modern e-commerce solution to meet the evolving needs of today's consumers.