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The earthquake in Istanbul in 1999 cost 17,000 lives. Help to build AI solutions to respond more effectively in case of an earthquake with a similiar magnitude. Challenge starts: 19 November
In Nigeria's power supply is limited to only half of the population of 198 million. The goal is to use satellite imagery analysis to make decisions on where to install renewable energy systems.
Wild Fires have cost thousands of lives and cause one third of global CO2 emissions! Join this challenge to build machine learning models for fire detection using landscape images.
Together with the UN Refugee Agency you will build a solution to predict forced displacement of people and violent conflict using historical satellite imagery.
Degraded land is affecting billions of people. Help to build a solution together with the World Resources Institute to facilitate restoration efforts.
Several AI solutions have been built with award-winning NGO Safecity India to make the lives of many women saver.
Build a solution to analyze social media feeds and predict when and where the next violent act in a neighborhood in Chicago may occur.
More than 30 Omdena Collaborators researched and prototyped technology and techniques suitable to create an intelligent chatbot to mitigate/assess PTSD in low resource settings.
36 Collaborators built a deep learning model with more than 95 percent accurarcy within two months.
36 Collaborators have been working in partnership with the UN World Food Program in Nepal to fight hunger by locating, tracking, and improving the growth of crops such as rice and wheat.
50 Collaborators built a ML model for identifying rooftops on low resolution satellite images.
38 Collaborators from 18 countries built an anomaly detection model applied on Mars surface.
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