Series

Municipal ML System: End-to-End Machine Learning Pipeline with FastAPI & Docker

This series documents the development of a complete Machine Learning-based Municipal Management System, covering the full pipeline from data collection and preprocessing to model training, API development with FastAPI, database integration using PostgreSQL, and containerized deployment with Docker. Each part breaks down real-world engineering steps involved in building a production-ready ML system.

Building CivicAI Part 1: When No Dataset Exists, You Build One
Series: Building an AI-Powered Municipal Complaint Management System from Scratch The Problem Nobody Talks About Every ML tutorial starts the same way: "First, load your dataset." But what do you do
May 13, 202611 min read6
Building CivicAI : Part 2: Training the ML Pipeline That Powers It All
Series: Building an AI-Powered Municipal Complaint Management System from Scratch Where We Left Off In Part 1, we built our dataset from scratch — growing it from 200 raw records to a clean, label-ri
May 19, 202611 min read
Building a Municipal AI Complaint System FastAPI, ML, PostgreSQL, and Docker
I have been working on a project that I think is actually useful in a real-world context, a municipal complaint management system that uses machine learning to automatically categorize, score, and pri
Jun 16, 20266 min read2

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