Hello! For my second interview in my CS Students Interview Series, I talked to Audrey Ha, a winner of the 2020 Congressional App Challenge (CAC). The CAC is a prestigious prize that students can win by designing, creating, and coding an app that fits the district-specific challenge. The CAC was created by members of the US House of Representatives with the goal of teaching middle and high school age students how to code. For more information, check out the CAC website: https://www.congressionalappchallenge.us/about/.
Audrey Ha heard about this challenge through her local high school’s AP Java teacher. For the challenge, she focused her app on hurricane relief for two main reasons, the first being that the 2020 hurricane season was a record breaking one. Second, she thought that the speed and accuracy of machine learning could help the US organize relief efforts for natural disasters. Her award-winning app, SurveyHurricane, uses artificial intelligence to accurately and quickly detect damaged houses on aerial imagery of storm-impacted regions. Her app uses object detection and image classification neural networks to locate these damaged houses.
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