All BlueVectors
Fire Risk Assessment
Real-time updates for the public and firefighters that highlight current and future high risk fire areas
Using historical data from NOAA (National Oceanic and Atmospheric Administration), Google Maps, Waze we can find early warning signs of potential fires to highlight high risk fire areas. To find these warning signs we will run ML models on past weather attributes (ex. temperature, precipitation, wind speed, etc.) and travel patterns (ex. people heading to risky fire starting areas like campgrounds) to highlight key attributes/patterns that best determine fire risk. We will apply this model to real-time streaming data from the same sources to determine high risk areas. This information will be available in two interfaces. One for the public which alerts travelers that they are heading to a high fire risk area and suggest other similar areas that have a lower fire risk. Another to be used by firefighters as a way to allocate manpower and resources to the appropriate areas before a fire starts.
Application
Transportation Projects, Events, and Traffic Map
Up to date map with transportation projects, local events, and real-time traffic and public transportation updates
An interactive map with live updates for traffic and public transportation as well as daily updates on government and private utility projects to be made available to the public. We will also have a data visualization tool for the use of government to allocate project resources appropriately and ensure that new projects won't be in similar areas of current projects which would have too much of an impact on traffic.
Application
Unemployment Insurance Document Verification
Automated workflow for incoming and backlogged Unemployment Insurance documents
The COVID-19 pandemic brought upon a huge increase in Unemployment Insurance claims. Our solution lets you manage the verification process from ingesting claimant information and attached documents to scanning and mining proofing data from the documents, performing verification queries, and creating dynamic dashboard analytics and reports for better process efficiency transparency. With the use of Document AI, which implements best in breed optical character recognition tools, key information is extracted and validated automatically within the system. This solution is built to be integrated with or without existing UI workflows and relies on Google’s independently ranked industry leading Vision AI platform. Please see https://cloud.google.com/forrester-computer-vision for more details on Google’s top ranking amongst competitors.
Application