Original Summary

Hi everyone, I’m a final-year CS student and I’ve just wrapped up an internship project that I’d like some outside feedback on before the final handover. It’s called Customer Statement Intelligence Suite . The idea is to provide one banking-intelligence assistant that can: analyze synthetic bank statements answer statement questions handle follow-up questions like “And July?” detect recurring payments answer public-policy questions using RAG One design decision I cared about a lot was not trusting the LLM with financial arithmetic . Totals, balances, counts, merchant spending and recurring-payment detection are calculated deterministically in the backend. The LLM is only used where interpretation is actually needed. Current state: 156 backend tests passing GitHub Actions CI passing production deployment working multiple production smoke tests completed synthetic data only At this point I’m not really looking for feature ideas because the handover is very close. What I’d really appreciate is people trying the live version and telling me: what feels confusing what breaks any weird questions that produce bad behavior UX problems anything that looks misleading reproducible bugs I may have missed Feel free to be critical. I’d rather find an issue now than during the final presentation. Live demo: https://statement-intelligence-suite-abl.vercel.app GitHub: https://github.com/daniyalsaqib/Statement_Intelligence_Suite_ABL This is an independent student internship prototype and uses synthetic data only. It is not an official Allied Bank application.   submitted by   /u/daniyalsaqib70 [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：2026/9/23 03:52:16