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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50122

Online Job Portal With Resume Parsing and Matching

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50122

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM50122

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GSL

Gauri S. Lolage1

OVK

Omkar V. Kumbhar2

YSG

Yashraj S. Ghorpade3

JDP

Jaidahamad D. Pathan4

MNVP

Mrs. Nutan V. Patil5

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Abstract

Campus placements often demand significant manual effort, from matching student profiles to job requirements to tracking application statuses. This process is transformed with the Training and Placement Officer (TPO) portal, built using the MERN stack and AI-powered resume parsing. The portal automates candidate shortlisting by analyzing resumes and ensuring at least a 50% skill match with job descriptions, significantly reducing TPO workloads. Job postings created by TPOs are instantly visible on student dashboards, with automated email notifications keeping students updated and engaged. Beyond facilitating placements, the system empowers students by offering personalized skill improvement recommendations, guiding them to enhance their profiles and stay competitive in the job market. For TPOs, the portal provides robust features like report generation for shortlisted candidates, offering valuable insights for better decision-making. Its intuitive interface ensures seamless navigation for users, fostering a transparent and efficient placement process. By bridging the gap between student abilities and employer expectations, the TPO portal creates a streamlined, fair, and mutually beneficial ecosystem, enhancing the campus recruitment experience for all stakeholders.

KEYWORDS

Resume Parsing Job Matching Automation Resume Builder MERN Stack TPO.

Cite This Article

Gauri S. Lolage1, Omkar V. Kumbhar2, Yashraj S. Ghorpade3, Jaidahamad D. Pathan4, Mrs. Nutan V. Patil5, "Online Job Portal With Resume Parsing and Matching," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM50122

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Publication Date

11/5/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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