Using A.I. to Help Humanitarian Causes
Red Cross have photographed thousands of survivors and put them on their website for refugees to look through and find their loved ones. But checking thousands of photos one at a time is slow. Every hour spent searching means more stress and risk for vulnerable refugees in camps. The search is often slowest for refugees in the worst conditions, who have unstable internet, have to share computers, or can’t afford the mobile data to load thousands of photos. The longer the search, the worse the mental health of refugees.
Call for Code 2019 runners up Project Reunite used AI to help alleviate some of the pain and help speed up aid efforts when needed the most. By using AI algorithms to classify, identify and prioritise images of lost loved ones in the aftermath of a natural disaster. Project Reunite are able to drastically reduce the time it takes to find someone.
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Using A.I. to Help Humanitarian Causes
Craig Forrest
Craig Forrest is a Software Developer working at IBM on the open source project, Zowe. His main focus is helping people interact with IBM mainframes using a Node.js CLI and helping to support users. Craig has a passion for web technologies and enjoys competing in Hackathons in his spare time.
Liam Hampton
Liam is a Developer Advocate at IBM, working within the Developer Ecosystems Group. He started his career at IBM as a Node.js Software Developer working on, and contributing to, the open source initiative Eclipse Codewind. Liam now focuses on developer advocacy with a keen interest in Golang.