React 19TypeScriptNode.jsExpressMongoDBLeaflet (GIS)TanStack QueryAnt DesignZodPM2

The Challenge

"Municipalities and local governments often struggle with manual property tracking, lack of spatial awareness for land boundaries, inefficient billing processes, and disconnected payment systems, which lead to low tax collection rates and poor transparency."

Architectural Solution

A modern Client-Server architecture utilizing a React SPA built with Vite and TypeScript on the frontend, and a Node.js/Express REST API on the backend. The system stores spatial and structured data in MongoDB, uses PM2 for backend process management, and leverages cron jobs for background processing.

Engineering Deep Dive

An inside look at the structural decisions, trade-offs, and scaling plans devised during implementation.

Context & Constraints

  • E-Governance solutions for local municipalities.
  • FinTech integration for regional mobile money gateways.
  • GIS Mapping for spatial land boundary management.
  • Tax Administration and billing automation.

Architecture Trade-offs

Chosen to use MongoDB for flexible schema evolution during development, which is advantageous for varying property attributes but requires careful indexing for complex geospatial queries compared to traditional relational databases.

Database Modeling

Document-oriented database design using Mongoose. Primary collections for Properties (storing GeoJSON polygon data), Taxpayers, Invoices, and Transactions with interconnected references.

Scaling Plan

Implement Redis for caching high-traffic API endpoints. Future phases involve isolating the cron-driven calculation engine into a dedicated microservice to prevent bulk processing from degrading user-facing API performance.

Repository Insights

Initialized5 months ago
Last Commita few days ago
Source Size2.99 MB
VisibilityPrivate