Job Portal MERN Stack

Abstract

1. Introduction

Using Restful web services, React JS, NodeJS MySQL, Kafka, NoSQL database MongoDB we have successfully created a prototype of LinkedIn. Our application consists of two main type of users: Applicant and Recruiter.

Applicant has various functionalities such as Search and Apply for a Job, Messaging, Networking with people i.e. ability to connect with other people (implemented using GraphDB) and view and edit profile. Recruiter has various functionalities such as Posting a Job, Messaging, Networking with people i.e. ability to connect with other people (implemented using GraphDB) and view and edit profile.

2. Objective

Using Restful web services, React JS, NodeJS MySQL, Kafka, NoSQL database MongoDB we have successfully created a prototype of LinkedIn.

This project demonstrates how JavaScript, React, Node.js can be applied to a real-world Full Stack Web Development problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Node.js (LTS) and npm
• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/thevarunjain/job-portal-mern-stack.git
cd job-portal-mern-stack

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add role-based access control
• Deploy on a VPS or cPanel hosting with a custom domain
• Add automated tests and a CI pipeline

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Explain the frontend, backend and database layers of this application.
2. How is user authentication and authorisation implemented?
3. Describe the main database tables / collections and their relationships.
4. Which REST APIs or routes are exposed and what do they return?
5. How would you deploy this application to production?

9. Source Code & License

This project is developed by thevarunjain and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.