Design and Development of a Job Portal Using MERN Stack for Efficient Recruitment Management

Recruitment processes in organizations often face inefficiencies due to manual management of job postings, candidate tracking, and application evaluation. This research presents the design and development of a full-stack job portal using the MERN (MongoDB, Express.js, React.js, Node.js) stack to streamline recruitment management for both job seekers and recruiters. The system allows recruiters to post jobs, filter and evaluate applications, and manage candidate data efficiently, while job seekers can search, apply, and track their applications in real-time. The architecture leverages a NoSQL database (MongoDB) for flexible and scalable data storage, Express.js and Node.js for backend API management, and React.js for an interactive and responsive user interface. Security is ensured through JWT-based authentication and role-based access control, while RESTful APIs enable seamless communication between the frontend and backend. Functional and performance testing demonstrates that the MERN-based portal improves the speed of job posting, application processing, and overall system usability compared to traditional methods. This study highlights the potential of modern web technologies to enhance recruitment efficiency and provides a foundation for integrating future features such as AI-driven job recommendations and analytics dashboards.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-11-14
DOI
https://doi.org/10.64388/irev9i5-1712001
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of a Job Portal Using MERN Stack for Efficient Recruitment Management

Iconic Research and Engineering Journals
Employer Branding and e-HRM
article

Design and Development of a Job Portal Using MERN Stack for Efficient Recruitment Management

article en

Abstract

Recruitment processes in organizations often face inefficiencies due to manual management of job postings, candidate tracking, and application evaluation. This research presents the design and development of a full-stack job portal using the MERN (MongoDB, Express.js, React.js, Node.js) stack to streamline recruitment management for both job seekers and recruiters. The system allows recruiters to post jobs, filter and evaluate applications, and manage candidate data efficiently, while job seekers can search, apply, and track their applications in real-time. The architecture leverages a NoSQL database (MongoDB) for flexible and scalable data storage, Express.js and Node.js for backend API management, and React.js for an interactive and responsive user interface. Security is ensured through JWT-based authentication and role-based access control, while RESTful APIs enable seamless communication between the frontend and backend. Functional and performance testing demonstrates that the MERN-based portal improves the speed of job posting, application processing, and overall system usability compared to traditional methods. This study highlights the potential of modern web technologies to enhance recruitment efficiency and provides a foundation for integrating future features such as AI-driven job recommendations and analytics dashboards.

Iconic Research and Engineering JournalsVol. 9(5)
Openalex Percentile: Top 57%
Employer Branding and e-HRM
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.