Popular GitHub Repositories for Disaster Preparedness

TypeScript-based disaster recovery documentation generator for Unraid servers. Automatically creates docker-compose files and restoration scripts from your running homelab setup.

multimodal social media content (text, image) classification

✈ Disaster Tweet ⛴ Classification ? Using NLP ? Machine Learning ? is a data science ? that applies ? Natural Language ? Processing and ? Machine Learning to classify tweets ? as disaster related non disaster ? related It demonstrates how AI ⛱ can be leveraged real time crisis management ? emergency response and social media ? monitoring

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Self-contained offline environment providing local AI chat, offline Wikipedia/content archives, IRC communication, audio streaming, file server, and development tools. Designed for zero internet dependency - download once, run anywhere. Perfect for remote areas, emergency scenarios, or escaping surveillance capitalism.

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

An Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)

Text based Named Entity Recognition data pipeline to annotate, and geo locate disaster related data points.

:rotating_light: Finds the best location for an Emergency Response Unit using Genetic Algorithm. A homework in Computational Intelligence course. :fire_engine: :oncoming_police_car: :ambulance:

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.

We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learning (CL) and Federated Learning (FL) methods. We also tried Active Learning (AL) to see how it could help in reducing the labeling workload for disaster dataset. Lastly, we optimized the model using OpenVINO.

PyroScan AI is a GenAI-powered multi-agent system for real-time forest fire prediction across 10 global zones. Designed for researchers and disaster teams, it includes agents for fire detection, weather analysis, and historical data mining. Deployable via CLI or Docker.

The Satellite-Dispatch is an CrewAI-driven platform designed to facilitate disaster response and recovery efforts using satellite technology.

Classification of tweets pertinent to disaster events. NLP basics with a focus on text embedding, interpretability and the use of LIME, and Keras to build a 1D CNN

fine-tuned BERT and scikit-learn models for real-time classification of disaster-related tweets, using TensorFlow, Keras, and Transformers. .

Imagine boarding the Titanic in 2021, and you have provided all your details as a passenger to the captain. There is are three people involved, the data scientist, captain and the passenger. Imagine the company who has built Titanic has created a machine ML model to predict the rate of survival of the passengers, in case of a disaster. The job of the data scientist is to make a model that is explainable to the passengers who are not technical, and that they get the answer about the reasons why they may not survive.

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

This is the disaster manager created on binary KGEC 2025 this helps users to start ware from any kind of natural disaster through getting informed by nasa satellite data

ResqAI is an AI-driven emergency companion that provides real-time weather forecasts, earthquake data, disaster analysis, and emergency response plans to help you stay prepared and informed. Stay safe with the latest news and AI-generated insights.

Automated pipeline for downloading, processing, and visualizing ECMWF tropical cyclone ensemble forecasts. Downloads TC track BUFR files, extracts ensemble data, combines with wind forecasts, and loads to Snowflake. Includes interactive Dash dashboard for visualization.