[Maeumjigi 毕业设计开发日志 #6] 自动化报告流水线: python-docx 可视化与 Next.js 14 前端启动
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April 5, 2026, marked a decisive operational turning point for the Maeumjigi capstone project. Having completed four iterative versions of data cleansing (v1 through v4), our team needed to accomplish two critical engineering objectives:
- Automated Faculty Reporting: Synthesizing our 120,000-sample preprocessing journey into an executive DOCX report with dynamic statistical charts.
- Next.js 14 Frontend Scaffolding: Launching the client-side architecture capable of handling low-latency server-sent events (SSE) for streaming model responses.