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Wildfire Insight Intelligence - AI-Powered Fire Damage Assessment

PythonDjangoDRFReactReact NativeExpoElectronTypeScriptPostgreSQLPostGISRedisCeleryGoogle Earth EngineGemini AIDockerAWSTerraformOpenTelemetryAuth0GitHub ActionspytestVisit live site
Wildfire Insight Intelligence - AI-Powered Fire Damage Assessment

/// SECTION 01 — OVERVIEW

Overview

Wildfire Insight Intelligence is an AI-powered platform that assesses and classifies wildfire damage from satellite imagery. Built for Brazil Flying Labs, it reads Sentinel-2 satellite data through Google Earth Engine and measures burn severity with several metrics (dNBR, RBR, dNDVI). AI-generated reports from Google Gemini provide detailed analysis, and users can ask follow-up questions in an interactive conversation interface. The platform runs on 6 platforms, with the same experience on web, mobile, and desktop.

The Challenge

Assessing wildfire damage across ecological reserves meant manual field surveys that were slow, dangerous, and limited in scope. Researchers needed to evaluate burn severity across large areas quickly from satellite data, generate standardized reports, and collaborate across teams, from any device, whether in the office or in the field.

The Solution

We built a full-stack platform. A Django REST API integrates Google Earth Engine for satellite imagery analysis, and Celery processes assessment jobs asynchronously. The backend stores geospatial data in PostgreSQL with PostGIS, and Google Gemini AI generates the detailed analysis reports and powers the interactive Q&A. Three separate frontends (a React web app, a React Native mobile app for iOS and Android via Expo, and an Electron desktop app) provide a consistent experience across all 6 platforms. Real-time push notifications keep users updated on assessment progress.

Highlights

  • [ PLATFORMS RUNNING THE SAME APP ]
    6
  • [ ANALYSIS REPORTS WRITTEN BY GEMINI ]
    AI
  • [ SOURCE OF THE SATELLITE IMAGERY ]
    Sentinel-2
  • [ PUSH NOTIFICATIONS ON EVERY PLATFORM ]
    Real-time

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