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Project

GIS-Based Analysis Tool for Disaster Recovery

A secure and user-friendly mobile banking app for managing personal finances.

Client

Finance Company

Start Date

Sep 10, 2022
GIS-Based Analysis Tool for Disaster Recovery
Description

GIS-Based Analysis Tool for Disaster Recovery is a geospatial decision-support system designed to help emergency managers plan evacuations, assess accessibility, and compute safe routes during disaster scenarios. It combines a Flask-based web mapping application with ArcGIS Pro toolboxes to deliver hazard-aware routing, facility analysis, and interactive map-based hazard modeling. Built on open GIS standards and routing services, the tool supports real-time hazard avoidance, spatial analysis, and deployment-ready disaster response workflows.

Key Features
  • Hazard-Aware Routing that computes safe paths avoiding disaster zones
  • Interactive Web Map built with Leaflet for real-time spatial analysis
  • Custom Hazard Modeling via GeoJSON upload or on-map drawing tools
  • Facility & Evacuation Routing to hospitals, shelters, and critical services
  • ArcGIS Pro Toolboxes for advanced GIS and network analysis workflows
  • Multiple Routing Services (OpenRouteService and ArcGIS APIs)
  • Geolocation Support for rapid origin detection in emergencies
  • Deployment-Ready Architecture with Docker, uWSGI, and nginx support
Technologies Used
  • Python 3.11+ – Core backend and geospatial processing
  • Flask – Web framework for API services and routing logic
  • Leaflet.js – Interactive web mapping and visualization
  • ArcGIS Pro / ArcPy – Advanced GIS analysis and custom toolboxes
  • ArcGIS & OpenRouteService APIs – Network analysis and routing services
  • GeoJSON – Standard format for hazards, routes, and spatial data exchange
  • Docker – Containerized, scalable deployment
  • nginx & uWSGI – Production-ready web serving and reverse proxy setup
Design Highlights
  • Modular Dual-Interface Design combining a web application and ArcGIS Pro toolboxes
  • Hazard-First Routing Architecture ensuring routes dynamically avoid risk zones
  • Map-Centric User Experience with real-time drawing, editing, and visualization
  • Service-Oriented Backend integrating multiple routing engines via clean APIs
  • Standards-Based GIS Data Flow using GeoJSON for interoperability
  • Deployment-Ready Structure with Docker, uWSGI, and nginx for production use
  • Scalable & Extensible Design allowing easy addition of new hazards, services, or tools
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