Nigerian Developer Automates Mom's Telecom Reporting Task, Cuts 4-Hour Job to 5 Minutes

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A Nigerian developer built the Telecom RCA Automation System to eliminate the repetitive manual work his mother faces each reporting cycle in her network field maintenance job. She previously spent two to four hours per cycle reading fault descriptions from WhatsApp messages, classifying them, and formatting compliance reports in Excel. The system uses a React 19 and TypeScript frontend backed by Supabase, with Google Gemini AI handling ambiguous fault classifications that a rule-based parser cannot resolve. An eight-stage classification pipeline processes raw field engineer messages and generates a formatted, color-coded Excel SLA report ready for submission. The project, submitted to DEV Community's Weekend Challenge: Passion Edition, reportedly reduces the workload by over 95% and is publicly accessible via a live demo on Vercel.

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