Volume 8, Issue 5, May – 2023 International Journal of Innovative Science and Research Technology ISSN No:-2456-2165 IJISRT23MAY2624 www.ijisrt.com 2671 Developing Online Shopping Application and Data Analysis Sourav Saha 1 ECE Department, JIS College of Engineering, Kalyani Rahul Kumar Das 2 ECE Department, JIS College of Engineering, Kalyani Suman Modak 3 ECE Department, JIS College of Engineering, Kalyani Suvarghya Banik Roy 4 ECE Department, JIS College of Engineering, Kalyani Subhadip Bhaumik 5 ECE Department, JIS College of Engineering, Kalyani Dr. Indranath Sarkar 6 Professor ECE Department, JIS College of Engineering, Kalyani Dr. Bikramjit Sarkar 7 Professor CSE Department, JIS College of Engineering, Kalyani Abstract:- In this age of the internet, most of the things that we have used to doing physically, now are automated and internet driven. Because of this revolution one of the basic jobs like shopping, is getting done by web applications. The people of this developed age are making their day-to-day purchases using online shopping apps. In this paper we have proposed a shopping web application and analyzed various steps of its development. It contains the entire procedure, which begins with determining the sections of our application. Like here we have login page, catalog page, checkout or payment page and admin control page, developing a responsive design for frontend and developing a backend for our application. In front-end Html, Css, Bootstrap and JavaScript are used and in backend Servlets, JSP, SQL, Hibernate and Java programming language are used, there is an extensive discussion about the technologies that we have used for frontend and backend development. Open-source data analysis and visualization of online shopping apps like Flipkart and Amazon are added. The analysis was done to check some information such as what are most selling products, the discount rates on these products and the seasonal most selling products etc. This data will be helpful in determining what are the products that should be kept in stock for every season and the discount rates on them etc so that the user base can be increased. and we have mentioned features which would make our web application unique in case of further development. Keywords:- Web Application, Responsive Design, Frontend and Backend Development, Data Analysis and Visualization. I. INTRODUCTION Online shopping web applications have revolutionized the way people shop. Online shopping web applications have become increasingly popular over the years, with more and more consumers turning to e-commerce for their shopping needs. With the rise of e-commerce, consumers can shop for products and services from the comfort of their own homes. This convenience has made online shopping a popular choice among consumers worldwide [1]. Data analytics is the process of examining large and complex data sets to extract valuable insights and information [2,3]. In the context of online shopping web applications, data analytics can help businesses understand consumer behavior, preferences, and trends. This information can then be used to improve the shopping experience for customers, increase sales, and drive business growth [4]. In recent years, the use of data analytics in online shopping web applications has become a game- changer in the e-commerce industry[5]. Objective of this paper is to develop an enriched e- commerce website in our country that can be largely acceptable by the customers.