Paper Title

WEB-BASED JOB PORTAL APPLICATION FOR JOB SEEKERS AND EMPLOYERS

Keywords

Job Portal, Online Recruitment, Python Flask, MySQL Database, Web Application

Abstract

The Job Portal Application provides an efficient solution for managing the recruitment process through an online platform. The system enables job seekers to search and apply for jobs easily while allowing employers to manage job postings and review candidate applications. By integrating Python Flask with MySQL database management, the system ensures reliable data handling and smooth interaction between users and employers. The web-based interface provides accessibility and convenience for all users. The proposed system improves recruitment efficiency, reduces manual effort, and enhances communication between employers and job seekers.

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Registration ID: IJVRA_701609   Published ID: IJVRA2603472

How To Cite

"WEB-BASED JOB PORTAL APPLICATION FOR JOB SEEKERS AND EMPLOYERS", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.614-619, March-2026, Available :https://ijpub.org/IJVRA/papers/IJVRA2603472.pdf

Issue

Other Publication Details

Paper Reg. ID: IJVRA_701609

Published Paper Id: IJVRA2603472

Research Area: Other area not in list

Country: Ravulapalem, Andhra Pradesh, India

Published Paper PDF: https://ijpub.org/IJVRA/papers/IJVRA2603472

Published Paper URL: https://ijpub.org/IJVRA/viewpaperforall?paper=IJVRA2603472

About Publisher

ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023

An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJVRA (IJ Publication) Janvi Wave

Licence

© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

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