Fake Job Detection using Logistic Regression

Author(s)	Mr. Vishvajit Rajendra Patil, Prof. Dr. Sheetal Suresh Zalte
Country	India
Abstract	Fake job scams have become a big problem in recent years, costing many job searchers money and causing them emotional anguish. In order to overcome this difficulty, we present a Fake Job Detection system that can identify if job advertising is authentic or fraudulent. The system categorizes job posts into real and fraudulent categories by using machine learning techniques to evaluate job descriptions. Results from experiments show that the model does a good job of detecting bogus listings. This strategy can help job seekers focus on legitimate career prospects and steer clear of frauds.
Keywords	Job Detection, Machine Learning, Fraudulent Job Postings, Classification, Job Scams
Field	Computer Applications
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-09-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.56843

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