The idea for this Geospatial Intelligence System was born from a simple yet frustrating experience: trying to extract location data from a stack of business reports for a market analysis project. I found myself manually copying addresses, looking up coordinates, and struggling to visualize patterns across different regions. There had to be a better way.
What if AI could automatically extract location data from any document and instantly map it? What if you could click anywhere on a map and get intelligent recommendations? What if complex geospatial analysis could be as simple as having a conversation?
This vision of democratizing geospatial intelligence - making it accessible to anyone, not just GIS experts - became the driving force behind this project.
🎯 What I Set Out to Build I envisioned a system that would:
Understand any document with location data (receipts, reports, maps, invoices) Extract and map locations automatically using AI Provide intelligent insights through natural conversation Offer real-world recommendations for any location Visualize data beautifully with interactive maps and charts The goal was to create something that felt as intuitive as ChatGPT but specialized for geospatial intelligence.
🛠️ How I Built It Technology Stack Selection After researching various options, I chose:
React + TypeScript for type safety and maintainable code Google Gemini 2.0 Flash for cutting-edge AI document processing Leaflet for interactive mapping (open-source and flexible) Tailwind CSS + Radix UI for beautiful, accessible design Chart.js for data visualization
Built With
- react
- tailwind
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