Shreeja.V, Ashitha.P,R.Raj Kumar 02 10 The study suggests an automated way of preventing bogus job postings online that uses categorisation techniques based on machine learning To determine the most effective model for identifying job scams the output of multiple classifiers was compared In order to verify false internet postings these classifiers are used In the midst of several other ads it aids in identifying fraudulent job listings The two fundamental categories of classifiers considered for the purpose Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026