IFIS Flood AI

Inspiration

Nobody is immune from extreme events or natural hazards that can lead to large-scale consequences for the nation and public. One of the solutions to reduce the impacts of extreme events is to invest in improving resilience with the ability to better prepare, plan, recover, and adapt to disasters. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed,

What it does

It analyzes the natural language question retrieved via Amazon Alexa devices, and returns flood related information generated by processing real-time spatiotemporal data gathered from Iowa Flood Center, NOAA, FEMA, National Weather Service, and USGS.

How we built it

For the Amazon Alexa integration;

For our knowledge engine;

Challenges we ran into

Accomplishments that we're proud of

We are proud of allowing people to access real-time flood related information that would normally require complex analysis and access to broad data, in an extremely easy and accurate way.

What we learned

What's next for IFIS Flood AI

Next, we will integrate other data sources for different countries including Canada, United Kingdom, and Germany. To enable the use of knowledge engine from countries with language different than English, we will implement language support using translation tools.

Built With

• amazon-lambda
• natural-language-processing
• ontology
• php
• python