Virtual Assistant for Prediction of Fake Job Profile Using Machine Learning

Prof. R. S. Shishupal, Varsha Varsha, Supriya Mane, Vinita Singh, Damini Wasekar · International Journal of Advanced Research in Science Communication and Technology · 2021

To avoid fraudulent post for job in the internet, an android application using machine learning based classification techniques is proposed in the paper. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are compared for identifying the best fake job scam detection model. It helps in detecting fake job posts from an enormous number of posts. It is an android application that is used to conduct an online conversation via text and speech by using natural language processing (NLP) and predicts the fake job offers using machine learning techniques. The data we used contains real and fake job post. We cleaned and pre-processed our data. After we implemented the classifiers, we trained and evaluated them for prediction of fake job offers.

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