Safeguarding Job Seekers: Research Insights into Fake Job Detection with SGD Classifier and Naive Bayes

The rise of online job platforms has brought more fake job listings, putting job seekers at risk.This paper dives into how we can spot these fake opportunities using a mix of two smart tools: Stochastic Gradient Descent (SGD) classifier and Naive Bayes algorithms.We look at the problems job seekers face with scams online and suggest a solution.Our idea is to use both SGD (good at handling lots of data) and Naive Bayes (great for understanding probabilities) to make a strong system that can catch fake job postings really well.This research aims to make job searching safer by creating a system that's strong and accurate.