Prism — Smart Data Automation Dashboard by 會飛的 香蕉Prism — Smart Data Automation Dashboard by 會飛的 香蕉

Prism — Smart Data Automation Dashboard

會飛的 香蕉

會飛的 香蕉

Prism — front-facing product presentation.
Prism — front-facing product presentation.
Fictional sample selected for spreadsheet cleanup.
Fictional sample selected for spreadsheet cleanup.
Processing report — visible rule counts and cleanup decisions.
Processing report — visible rule counts and cleanup decisions.
Detected fields, original and cleaned previews, and CSV export.
Detected fields, original and cleaned previews, and CSV export.
Responsive mobile interface — fictional sample data.
Responsive mobile interface — fictional sample data.
Personal Project / Demo · Role: Workflow design, Python API development, dashboard UI
Prism is a personal spreadsheet automation demo designed to make cleanup decisions visible. Users upload a CSV or Excel file, or choose a fictional sample, and receive a report of deterministic processing rules. The Python and pandas pipeline trims text, removes identical rows, fills missing values, and standardizes recognizable dates. A FastAPI endpoint returns detected fields, actual rule counts, original and cleaned sample rows, and a CSV export. A scroll-driven product story introduces the idea; the working interface focuses on understanding what changed before downloading. The report separates whole-file counts from eight-row previews and explains that samples are not row-aligned after duplicate removal. Unparseable dates and the limits of automatic filling are disclosed. Files are processed in memory and are not stored on the server. The project demonstrates a small, inspectable automation product with English copy and responsive UI, without implying customer delivery or commercial results.
Screenshots use fictional sample data. The Python/FastAPI implementation and documented cleanup rules are available in the linked source.
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Posted Sep 28, 2026

Personal demo: CSV and Excel cleanup with visible rules, before/after previews, and export, backed by a Python/FastAPI implementation.