User Recognition for App Rating using Machine Learning

The constant presence of fake reviews online tells us that reviews are an important part of consumer decision making, and underscores how important reviews are to local Search Engine optimization (SEO). As always in SEO, if someone tries to cut or cheat on something, they usually assume that doing it right is worth the effort. The degree to which fake reviews penetrate this reputation management space generally threatens the credibility of reviews. This study will implement a verification process that includes face recognition. Second, it uses the user’s biometrics. In this project, before users can post ratings for your app, you need to make sure they’re human and not bots. It must pass the facial recognition and fingerprint biometrics previously set up for the user. You can only publish a rating if the user who passes verification. The algorithm used in the proposed system is Open-Source Computer Vision Library (Open CV), and the proposed system uses the You Only Look Once (YOLO) methodology for face recognition.