This is a state-of-the-art NLP model to detect job posting fraud with 96% accuracy. Conducted data preprocessing, and feature extraction, and trained the classifier using statistical models such as Logistic Regression and Random Forest. Achieved high scores on key metrics, demonstrating the model's effectiveness in identifying fraudulent job postings.