Instant disaster recovery response and triage at everyone's finger tips.
Wildfires is a global problem that threatens lives, wildlife, and forests every year. My goal is to help firefighters to prevent wildfire by predicting fire occurrence using fire and weather readings.
Frontline responders for any potential threat by any natural disaster.
RescueLine uses machine learning to classify emergency calls according to the nature of assistance required to dispatch the appropriate response team (fire,medic,search/rescue) and save lives.
Banjeer came up as the countermeasure of floods by utilizing Computer Vision to monitor the condition of rivers from satellite images.
The new era with no wildfires
Given a satellite image, predict whether it has been hit by any natural disaster. If it has, detect the type of disaster.
DCAP: Disaster Counter Action Plan , a 3 step action plan using Machine Learning, Sagemaker and Tensorflow
"Remember... Only YOU Can Prevent Forest Fires." (Smokey the Bear) — Well, data science can help too.
An application to find similar cyclones that occurred in the past and gain valuable insights from them to deal with new cyclones.
Communications in disaster situations are vital. Anticipating the disaster to prepare the population and being able to communicate when the disaster has already occurred is essential.
How machine learning can help to predict rain & flood in order to provide advance warning specific to region well in advance to act ,better prepare and plan for Disaster Response with 2 phase approach
Use traffic camera footage to detect icy bridges and alert road crews in order to prevent accidents and subsequent road blockage such as the recent event in Virginia stranding drivers.
Data uniform response protocol on AWS is a DRS survey and response analysis for amazon prime users.
The goal of this project is to predict where likely in the world and on what dates an earthquake will happen
Disaster recovery database management system tools.
Disaster Response System
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