UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2505939


Registration ID:
562939

Page Number

i358-i365

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Title

Placify: Seamless Recruitment Experiences Powered by MERN

Abstract

The recruitment process in educational institutions is often inefficient, leading to difficulties for students in securing jobs and for recruiters in finding suitable candidates. Traditional placement methods involve excessive paperwork, manual tracking, and lack of proper communication, resulting in delays and errors. This paper presents the implementation of a Placement Cell Job Portal using the MERN (MongoDB, Express.js, React.js, Node.js) stack, designed to streamline and automate the placement process.The system facilitates real-time job postings, student profile management, recruiter interactions, and Training & Placement (T&P) officer functionalities. It allows students to register, apply for jobs, receive notifications, and track application status. Recruiters can post job openings, filter candidates, and manage hiring processes efficiently. Placement officers can monitor job postings, verify student details, and oversee recruitment activities.By leveraging role-based authentication, the system ensures secure data handling, allowing only authorized users to access relevant information. WebSockets-based notifications provide real-time updates to students regarding job applications and interview schedules. The job application filtering mechanism ensures that students see only relevant job listings based on their qualifications and interests.This implementation aims to reduce manual workload, improve efficiency, and provide an organized structure for job placements. The proposed system enhances data security, automates recruitment workflows, and bridges the communication gap between students, recruiters, and placement officers. The use of MongoDB for data storage, Express.js and Node.js for backend services, and React.js for an interactive UI ensures a seamless and responsive user experience. The project demonstrates how technology-driven recruitment systems can significantly improve the placement process in academic institutions.

Key Words

placement portal, job recruitment, mern stack, training & placement, automated recruitment.

Cite This Article

"Placify: Seamless Recruitment Experiences Powered by MERN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.i358-i365, May-2025, Available :http://www.jetir.org/papers/JETIR2505939.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Placify: Seamless Recruitment Experiences Powered by MERN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppi358-i365, May-2025, Available at : http://www.jetir.org/papers/JETIR2505939.pdf

Publication Details

Published Paper ID: JETIR2505939
Registration ID: 562939
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: i358-i365
Country: Pune, Maharashtra , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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