Why I built FakeScan after falling for fake Amazon reviews

Introduction As a developer and an avid online shopper, I've always been fascinated by the impact of reviews on our purchasing decisions. We've all been there - scrolling through Amazon reviews, trying to make sense of the overwhelming amount of feedback. But have you ever wondered how many of those reviews are actually fake? I know I have, and it wasn't until I fell for a fake review myself that I decided to take matters into my own hands. This is the story of how I built FakeScan, a tool that uses AI to detect fake Amazon reviews. The Problem We've all heard the stories about fake reviews on Amazon. Whether it's a company paying for positive reviews or a competitor leaving fake negative feedback, it's a problem that affects us all. As a shopper, it's hard to know what to trust. I remember buying a product based on a glowing review, only to find out that it was completely inaccurate. The product was subpar, and I felt like I'd been duped. That's when I realized that I needed a way to