📄 中文摘要
作为一名开发者和热衷于网购的消费者，假评论的普遍存在让我感到沮丧。许多产品的评论看似完美无瑕，实际上却是低质量商品。为了应对这一问题，我决定亲自开发一个工具。在经过多次尝试无效的评论分析工具后，我在30天内构建了FakeScan，利用AI技术来检测假冒的亚马逊评论。这个工具旨在恢复消费者对在线市场的信任，提升购物体验。
我在30天内构建了FakeScan，以利用AI检测假冒亚马逊评论
出处: I Built FakeScan in 30 Days to Detect Fake Amazon Reviews with AI
发布: 2026年3月14日
📄 English Summary
I Built FakeScan in 30 Days to Detect Fake Amazon Reviews with AI
As a developer and an avid online shopper, the prevalence of fake reviews on e-commerce platforms like Amazon has been a source of frustration. Many products boast glowing reviews that turn out to be misleading, leading to poor purchasing decisions. To tackle this issue, I took the initiative to create a solution. After testing various ineffective review analysis tools, I built FakeScan in just 30 days, harnessing AI technology to detect fake Amazon reviews. This tool aims to restore consumer trust in online marketplaces and enhance the shopping experience.