• Malarvizhi.S
• Reshma.R
• Vidhya.M

Now that everything is online, consumers can save time and effort by reducing their manual labour. All job posts are now made available online, providing the employer with a large pool of candidates to choose from, as well as providing information to job seekers. Most organizations can now post jobs directly on their websites. There are job advertisements that are not true, and there are also fake job postings. As a result, we attempt to qualify the bogus posting as genuine. The goal is to anticipate actual or false job prediction outcomes with the highest accuracy using machine learning-based techniques. The dataset is evaluated using the supervised machine learning approach and capture numerous pieces of information such as variable identification, univariate, bivariate, and multivariate data validation, data cleaning/preparation, data analysis, and data visualization

Machine Learning, highest accuracy, fake job postings, bogus, supervised machine learning approach.

"Real and Fake Job Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a864-a867, June-2022, Available :http://www.jetir.org/papers/JETIR2206099.pdf

"Real and Fake Job Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa864-a867, June-2022, Available at : http://www.jetir.org/papers/JETIR2206099.pdf