Fake Reviews have become a very serious problem in online marketing, which in turn forces us to question the credibility of the vendors selling these products. Fraudsters use highly complex and advanced ways to make fraudulent content look real, which is why manual review struggles to identify content like this. This erodes customer trust and also creates a hierarchical difference in how businesses operate. This project looks to reestablish customer confidence and improve platform reliability by using technologies like NLP to identify and eradicate fake reviews more efficiently and reliably. There exist many challenges like the availability of datasets and changing fraud tactics, the application of machine learning gives scalable and flexible solutions to these problems. This model shows the capability of ML to change the review verification process fostering more trust and security.