Fake E Job Posting Prediction Based on Advance Machine Learning Approachs
Ali Raza, Saqib Ubaid, Faizan Younas, Farhan Akhtar · International Journal of Research Publication and Reviews · 2022
There are many jobs adverts on the internet, even on reputable job posting sites, that never appear to be false. However, following the selection, the so-called recruiters begin to seek money and bank information. Many candidates fall into their traps and lose a lot of money as well as their existing job. As a result, it is preferable to determine whether a job posting submitted on the site is genuine or fraudulent. Manually identifying it is extremely difficult, if not impossible! An automated online tool (website) based on machine learning-based categorization and algorithms are presented to eliminate fraudulent job postings on the internet. It aids in the detection of bogus job postings among the vast number of postings on the internet.