debanjan06/geospatial-rag
AI Framework for Remote Sensing Image Analysis using RAG - 88%+ accuracy, multi-modal queries, ChatGPT-like interface
This AI framework helps Earth observation practitioners quickly find and understand specific features in vast collections of remote sensing images. You feed it satellite images and their descriptions, then ask questions using natural language or even another image. It provides relevant images and an AI-generated explanation, making complex image analysis much faster for professionals like environmental scientists, urban planners, or disaster response teams.
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Use this if you need to rapidly search and gain insights from large archives of remote sensing or satellite imagery using intuitive text or image queries.
Not ideal if your primary need is for analyzing standard natural images or if you require real-time streaming analysis of live satellite feeds.
Stars
12
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jul 27, 2025
Commits (30d)
0
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