Hurricanes are an increasingly serious problem due to global warming. We want to improve response times and response execution by providing analytics to governments and aid organizations.
What it does
Satellite images are segmented by a machine learning algorithm and classified into destroyed/intact sections. We find the area of destruction and multiply by the prices corresponding per those areas at those areas.
How we built it
Web-app with back-end flask with Tensorflow.
Challenges we ran into
Not knowing front end.
Accomplishments that we're proud of
Learning some front end, creating a functioning project that can help people react to hurricanes effectively. .
What we learned
Some front end lmao. But also how to make pretty pictures/analytics and web-scraping/ML.
What's next for Merlin - Natural Disaster Visualization
Look at the powerpoint pdf in the github https://github.com/18AdrianoH/HackMIT-2019.