FAKE JOB POSTING DETECTION USING ML

Online job portals have transformed recruitment, providing global access to employment opportunities.However, the rise of fraudulent job postings has become a major concern for job seekers and recruitment platforms.This paper presents a Fake Job Posting Detection System using Machine Learning techniques.The system applies Term Frequency-Inverse Document Frequency (TF-IDF) for feature extraction and a classification model for prediction.A Streamlit-based interface provides a user-friendly platform for real-time classification.Experimental results demonstrate that the system achieves promising accuracy in detecting fraudulent postings, making it a reliable solution for protecting users against recruitment scams.