Original Summary

I’ve completed Cycle 2 of EverSide, a bilingual WeChat Mini Program designed to help older adults use technology more safely. Users can now paste a suspicious message, upload a screenshot, or choose from several demo examples. EverSide then gives one of three results: Likely Safe, Suspicious, or Not Sure , followed by warning signs and practical next steps. I used Cline while building and testing this cycle, especially for organizing the analysis logic, bilingual content, and accessibility behavior. The biggest lesson was that a fraud checker shouldn’t pretend to be completely certain. Sometimes “Not Sure” is the safest and most honest answer. Next, I want to explore OCR so the app can read text directly from screenshots. I’d be grateful for any feedback, especially on accessibility, privacy, or the three-result approach. GitHub: https://github.com/PhilipsDang/everside-project   submitted by   /u/WhiteTigerThisTime [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/19 12:27:17