MACHINE LEARNING FOR FAKE JOB DETECTION

Abstract: The proliferation of online job boards has concomitantly led to an upsurge in the prevalence of fraudulent job postings. These deceptive listings are designed to mislead job seekers by advertising non-existent employment opportunities or misrepresenting the details of legitimate positions. The repercussions of falling prey to such scams extend beyond wasted time and effort to potential financial losses for the affected individuals. This research project aims to develop a machine learning-based solution for the detection of fake job postings, thereby addressing this critical issue in the online job market.