Geo QA

I engineered Geo QA, an innovative, AI-powered spatial chatbot designed to bridge the gap between natural language and complex geographic data. On the frontend, I built a sleek, highly responsive user interface using Next.js and Tailwind CSS. The core intelligence of the application is driven by a FastAPI backend integrated with the GLM 5.1 model. By leveraging advanced LLM function calling and an Open API SDK, the chatbot can accurately interpret user questions, query a PostGIS database, and instantly visualize real-world Sentinel 2 EGIS Land Cover areas directly on the map. This project successfully demonstrates how modern AI can be used to make complex spatial analytics accessible and highly interactive.