A crowd-sourced guide to help techs help their non-tech spouses / partners / parents / kids when we are at the end-of-life

The Open Source Computer Aided Dispatch (CAD), Personnel, Shift Management, Automatic Vehicle Location (AVL) and Emergency Management Platform that powers Resgrid.com

Afet Yönetim Sistemi Back-End

Advance warning system for flood with rainfall analysis

A list of common Disaster Recovery (DR) scenarios for software companies

⛈️⚡ Disaster Management Web Application

Your disaster management assistant

Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).

Helping Hand is an Online & Offline Disaster Management System for Govt. of Assam with motive to help government and people of Assam during disaster.

The project consists of developing a solution around the problem of Disaster Management. It involves complete assurance that the resources are carefully distributed to the people of the disaster hit region. It leads to a seamless network between all the third parties by bringing all the organisation on to the same network.

Tools required to trigger, manage and execute the Red Cross Early Action Protocols for natural disasters.

Zivilschutz-Karte allows to draw situation maps for disaster management

Kontur Platform API Gateway

🚨 Finds the best location for an Emergency Response Unit using Genetic Algorithm. A homework in Computational Intelligence course. 🚒 🚔 🚑

Andoid application for disaster management.

The proposed blockchain system aims to enable the non-governmental organizations (NGO) and public institutions to manage and coordinate the resources in a trusted environment in the case of disasters. The system aims to reach more disaster victims in a more timely manner.

Second Runner up Microsoft AXLE(National Challenge code.fun.do++ hackathon) 2019

This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.

The Project is a prototype for Emergency evacuation and simulations in Indian context. Major focus of this project is nuclear plant, chemical gas leak sort of hazards. This projects dynamically generates the evacuation routes during emergency situations.

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.