International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Machine Learning Model for detecting Fraudulent Job Listings on Recruitment Platforms

B.Venkata Harivardhan ReddyComputer Science & Engineering (Cyber Security), Madanapalle institute of Technology & Science, Madanapalle-517 325, A.P., IndiaP.S.OmprakashComputer Science & Engineering (Cyber Security), Madanapalle institute of Technology & Science, Madanapalle-517 325, A.P., IndiaA.KarthikramAssistant Professor, Computer Science & Engineering (Cyber Security), Madanapalle institute of Technology & Science, Madanapalle-517 325, A.P., India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 217-224

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE35

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Abstract

The growing menace of fake job postings has become one of the main issues in the online job market, which wastes the time and resources of job seekers and may harm them. Many such fraudulent postings disguise themselves as real opportunities for job seekers to get confused. The research aims to solve the problem using machine learning algorithm like Random Forest (RF), Logistic Regression (LR) and neural networks, which can classify a job posting as either real or fake by extracting features and posting patterns. We strive to develop an machine learning (ML) model capable of detecting fake job postings effectively and preventing the gullible job seekers from potential scams. Advantages of the proposed system include improvement in efficiency and scalability, potential reduction in multiple platforms of phony job posts.

Keywords

Fake Job Postings, Machine Learning, Job Classification, Fraud Detection, phony job posts


Citation of this Article

B.Venkata Harivardhan Reddy, P.S.Omprakash, & A.Karthikram. (2025). Machine Learning Model for detecting Fraudulent Job Listings on Recruitment Platforms. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 217-224. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE35

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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