DATA INTELLIGENCE FOR IDENTIFYING FRAUDULENT JOB OPPORTUNITIES

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Authors: Amit Garg, Gourav Pal, Ameer Alam
Cited by: 0

Abstract

In today’s digital era, most people look for job opportunities through online job portals and recruitment websites. However, fake job postings have become a major concern for both job seekers and employers. These fake posts waste valuable time and can even lead to scams or data theft. To address this issue, our project aims to build a machine learning model that can automatically detect whether a job posting is real or fake. Using data mining and classification techniques, the proposed system helps in identifying fraudulent job advertisements efficiently and accurately.

Fields of Study & Subjects

Spam and Phishing Detection Authorship Attribution and Profiling AI and HR Technologies

Publication details

Journal / source
EPRA International Journal of Research & Development (IJRD)
Pages
30–30
Publication date
8 January 2026