Shopping Cart using Spring Boot with source code

Shopping Cart using Spring Boot

Project: Shopping Cart using Spring Boot

Shopping Cart using Spring Boot The Shopping Cart Web Application is a modern and feature-rich e-commerce platform designed to provide users with a seamless and enjoyable online shopping experience. Leveraging a robust stack of technologies and frameworks, this project encompasses various functionalities, ensuring a well-rounded and efficient solution for both customers and administrators

Requirements Shopping Cart using Spring Boot

Feature

1. User Authentication:

• Description: Enables users to register, log in, and log out securely.
• Key Points:
  • Integration with Auth0 for authentication.
  • Support for social login options (Google, GitHub, Facebook).

2. Product Management:

• Description: Manages the catalog of products available for purchase.
• Key Points:
  • CRUD operations for adding, updating, and deleting products.
  • Integration with the Collections Framework for efficient data management.

3. Shopping Cart Operations:

• Description: Allows users to interact with their shopping cart.
• Key Points:
  • Add items to the cart.
  • Remove items from the cart.
  • Adjust quantities of items in the cart.

4. Checkout Process:

• Description: Guides users through the process of completing a purchase.
• Key Points:
  • Address modal for user input during checkout.
  • Secure payment processing for transaction completion.

5. User Interface Design:

• Description: Provides an intuitive and visually appealing user interface.
• Key Points:
  • UI development using JSP, Servlets, and HTML5.
  • Integration of Chakra UI components for modular and accessible design.

6. Database Interaction:

• Description: Manages interactions with the database.
• Key Points:
  • JDBC integration for inserting and retrieving data.
  • Storage and retrieval of user, product, and transaction data.

7. Spring Boot Configuration:

• Description: Sets up and configures the Spring Boot project.
• Key Points:
  • Project bootstrapping for quick and easy development.
  • Embedded Tomcat server for deployment.

Technologies Used:

1. Objective:
   • Develop a shopping cart web application utilizing a stack of modern technologies and frameworks.
2. Setting up your local Java development environment:
   • Install Java Development Kit (JDK) on your local machine.
   • Configure your Integrated Development Environment (IDE) for Java development.
3. Use Collections Framework to perform the operations:
   • Leverage Java Collections Framework for efficient data manipulation and management within the application.
4. JSP / Servlet / HTML5 for any UI page:
   • Design user interfaces using JSP (JavaServer Pages), Servlets, and HTML5 to create a dynamic and interactive shopping experience.
5. JDBC Framework for inserting data in the Database:
   • Implement JDBC (Java Database Connectivity) to interact with the database for inserting and retrieving data related to the shopping cart.
6. Spring Boot – Bootstrapping for creating the project:
   • Utilize Spring Boot for project bootstrapping, simplifying the setup and configuration of the application.
7. Spring Boot – Tomcat to deploy the application:
   • Employ the embedded Tomcat server provided by Spring Boot for deploying and running the shopping cart application.
8. Spring Boot – Build Systems for creating a unit to deploy:
   • Use Spring Boot’s build systems (e.g., Maven or Gradle) to manage dependencies, build the project, and create deployable artifacts.
9. Spring Boot – Logging for logging messages in a file:
   • Implement logging using Spring Boot’s logging mechanisms to track and analyze application behavior, storing log messages in a file for future reference.
10. Spring Boot – Exception Handling for proper error messages:
    • Implement robust exception handling mechanisms in Spring Boot to gracefully manage errors and provide meaningful error messages to users.

Software And Tools Required

• JDK/JRE version : 11+
• Web Server : Tomcat Server 9.0.x
• Database Server : MS SQL Server 2017
• Recommended JDK/JRE version : java 11.0.9 LTS

Output :

Database :-

Complete Video :-

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