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Our application firstly predicts future natural disasters and also shows them in the map. Basically it shows a world wide view of future natural disasters.
Continued work on the Icy Bridge Identification project. The goal is to take NCDOT cameras and detect when a bridge has dangerous ice.
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.
An implementation of a paper at WCDM 2021, world congress on disaster management, the project up-sells the infamous echo flex as an outdoor USB based disaster prediction cloud system.
Disaster early response application
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.
Amazon study says 100ms slowness page load time cost 1% in revenue. Built a Deep Learning ML model to prove UX Performance impact on Conversion rate and which UX Performance KPIs matters most.
SAATHI is your friend, your saviour, and your companion to help you predict flood beforehand,
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DCAP: Disaster Counter Action Plan , a 3 step action plan using Machine Learning, Sagemaker and Tensorflow
Modern Way To Reform Agricultural Practices
Radically better search - andisearch.com
Predict California wildfires with Sagemaker-based LightGBM AI model. Visualize California wildfire history and predictions with Amplify Geo for AWS Amplify.
By finding correlations between the atmospheric conditions at the time of the lightning strike, we were able to predict the occurrence of lightning and thunderstorms.
The new era with no wildfires
The tech team at Satellite Vu applied our knowledge of wildfires, satellite imagery and machine learning to demonstrate a fire spread prediction system which could be applied globally
Take action to get a little reduction in heat
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.
Access to essential news, statistics, and trading tools from any connected PC or mobile device enables users to transform knowledge into action.
Instant disaster recovery response and triage at everyone's finger tips.
To aid land managers in quickly identifying and responding to tree disease and mortality, we developed a computer vision model to ID diseased and dead trees from open-source available Landsat data.
Engineering Rescue Services To The Right Places
Data uniform response protocol on AWS is a DRS survey and response analysis for amazon prime users.
