Across a wide range of categories, we provide a strong foundation for identifying fraudulent reviews, all of which are classified as Original Reviews (OR) or Computer-Generated Reviews (CG). By examining the text and ratings of review texts carefully with cutting-edge Natural Language Processing (NLP) algorithms, our approach can detect dishonest trends suggestive of fraud. Incorporating discrete categories such as sports, home and office space, etc., our methodology guarantees flexibility and adaptability across diverse sectors. We demonstrate how to detect bogus reviews accurately without false positives by rigorously testing and validating. As well as strengthening the credibility of online review sites, this innovative initiative promotes trust in the online market by providing authentic content.