In today’s digital era, most people look for job opportunities through online job portals and recruitment websites. However, fake job postings have become a major concern for both job seekers and employers. These fake posts waste valuable time and can even lead to scams or data theft. To address this issue, our project aims to build a machine learning model that can automatically detect whether a job posting is real or fake. Using data mining and classification techniques, the proposed system helps in identifying fraudulent job advertisements efficiently and accurately.