This project is an interactive job and internship portal developed using the MERN stack with custom Admins, Jobseekers/Students, and Recruiters/Companies modules. The portal has been designed to transform the recruitment industry by eliminating the inefficiencies of the conventional recruitment procedures and creating a hassle-free, user-friendly portal. By incorporating advanced features like individualization-based job suggestions, web-based testing, and live application status, the portal provides maximum convenience and transparency to all the stakeholders. Admin module provides a good group of admin features with functionality to enable recruiters to control recruiter activity, user registrations, and job postings. This has the advantage of data integrity, system security, and simplicity of platform functions. Job candidates, via the User module, can establish extensive profiles, find the right job by qualification, and be suggested by skill and interest level. They can also attempt online tests organized by the recruiters, inquire about the application status, and receive real-time feedback on their performance during the recruitment procedure. The Recruiter module aids organizations in job posting functionalities, designing and administering web-based tests, and efficiently screening candidate resumes. Test scores and candidate qualifications are now utilized by recruiters to make the hiring decision, making the recruitment process more streamlined. Development was carried out through a platform incorporating MERN stack that combines MongoDB with Express.js and React.js and Node.js —such a setting supports the latest web technology in delivering optimum performance, scalability, and interfaces. It tackles the diversity of recruiter and applicant requirements through abilities such as recommendations based on skill and web tests that simplify recruitment and make the process more streamlined. The project not only meets the requirement of filling the gap for end-to-end recruitment but also raises the challenge of compliance with next-gen technology in next-gen recruitment trends.
100
75
43
100
75
43
100
75
43
Copyright © 2025, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: K S JAYANTH, jayanthk7824@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Or share your Opinion
Neurological disorder primarily caused by the depletion of dopamine a neurotransmitter essential for regulating movement and coordination. As...
Concerned citizens might be reassured that this research examines a deep learning method for identifying fraud in online...
With the increasing global energy demand and the depletion of fossil fuel resources such as coal, lignite, oil,...
Stroke remains one of the foremost causes of mortality and long-term disability worldwide. Early prediction of stroke is...
Predicting the length of hospital stay (LOS) is critical for improving healthcare resource management and patient care. This...
Comments(0)