This document discusses a proposed system to identify and remove fake product reviews on e-commerce websites. The system would track IP addresses of users submitting reviews and flag reviews coming from the same IP address as potentially fake. It would also analyze reviews using machine learning and opinion mining techniques to determine if a review is positive or negative. Users would have to log in with an email address, and any user found to be posting fake reviews would have their account blocked from further reviews. The goal is to help customers get genuine reviews so they can make informed purchasing decisions.