Fake Job Post Detection Using Machine Learning

Nowadays, it’s hard for job seekers to figure out which job postings are real and which ones are fake. To solve this problem, we’ve built a smart tool that uses advanced technology to detect and remove fake job ads. We looked at various methods to study job ads and checked how effectively each one functioned. After doing many tests, we saw that mixing different techniques (ensemble methods) gave the top results in finding fake job postings. Our system, Fake Job Post Prediction, is based on a strong and trustworthy model, the Random Forest Algorithm (RFA), which helps a lot with making accuracy better. This system is known for being both fast and accurate, and it achieves an impressive 98% accuracy rate—way better than older techniques. The goal of this tool is to protect job seekers from scams, like fake job offers or requests for money during the application process. By identifying and removing fake job ads early, it makes the job search process much safer and more trustworthy. This tool is a big step forward—it helps people tell the difference between real and fake job opportunities and creates a safer online space for job hunting. In today’s tricky job market, this tool is a must-have for anyone looking for work.