CBS Spatial Decision Support System
A comprehensive CBS (Geographic Information System) platform designed to collect, organize, visualize, and analyze spatial data from the field. The system brings map layers, asset records, region-based filtering, reporting, and operational follow-up into one dashboard so teams can make faster and more accurate decisions.
🎯Problem
Location-based operational data was scattered across manual lists, local files, and disconnected field notes. This made it difficult to see what was happening in each region, compare locations, prioritize work, and report progress with confidence.
💡Solution
Built a map-first CBS platform where spatial records can be viewed, filtered, enriched, and turned into practical reports. The system connects geographic context with business data, making every record easier to understand and every decision easier to justify.
🏗️Architecture
The frontend provides an interactive map interface with region filters, layer controls, detail panels, and responsive admin screens. Data is modeled with MongoDB and exposed through Next.js API routes. GeoJSON-compatible structures keep the system ready for future map layers, external GIS integrations, and richer spatial analysis workflows.
⚠️Challenges
The main challenge was translating raw geographic data into a clean decision-making experience. The interface had to stay simple for daily users while still supporting layered spatial data, detailed records, filtering, and future expansion.
📚Lessons Learned
This project strengthened my spatial data modeling, map-based UI thinking, and product-oriented full-stack architecture. It showed that a strong developer does not only write features, but designs systems that make complex information feel usable, trustworthy, and decision-ready.