Current Crisis Cleanup Web Application (Version 4) based on Vue 3. This version was launched March 10, 2023.

Provide Maximum Availability and Disaster Protection for Oracle Systems

Trilio Ansible Galaxy and Automation Roles Collection

Disaster Recovery

The project source code for Ağ Tabanlı Afet Yönetim Sistemi: ATAY.

MOWAS personal warning beacon via Email and tons of messenger accounts

Website displaying humanitarian crisis and news using OpenStreetMap and ReliefWeb.

Japan Meteorological Agency Earthquake API Client

Building the Resilience of the Poor in the Face of Natural Disasters: A Simulation Model

Exploratory Data Analysis of Natural Disasters Around the World From 1900-2021

Geoanalytics for climate and disaster risk screening

A collaboration platform that facilitates communication, planning and actions for disaster management.

This code is so bad, that it is worth sharing.

Flood Risk modelling toolbox for Canada

IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.

A web app created to improve rescue efforts during disasters is designed to optimize the management and coordination of resources in emergency situations. This platform provides various advanced features to make the response to disasters quick and effective.

Interactive and visually engaging cursor disaster effect using dynamic grids that follow the mouse cursor in different directions.

DisasterFlow is a robust and adaptable system designed to streamline disaster preparedness, response, and recovery efforts. It leverages a microservice architecture to provide enhanced scalability, flexibility, and fault tolerance.

Identifikasi Tingkat Kerusakan Bencana Dengan Clustering

An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.