Apps Consultants of Denver has developed an interactive software tool powered by a Graph Database to simulate the US presidential election outcome in four key states: Florida, Pennsylvania, North Carolina and Colorado. The software incorporates daily early voting updates from each state election office. Variables are: the number of mail-in ballots and early votes received by party and registered voters who are Democrats, Republicans and unaffiliated.
How will Independents Vote?
Under “Voter Preferences,” users can affect the outcome by using a slider that predicts the behavior of independents as well as the two major parties. The default for independent voters is 50% for each candidate.
The data will be updated each morning through Election Day, with information from each state’s election office.
Apps Consultants created this decision tool using a graph database and machine learning. It adapts voter turnout projections based on the daily new information. The software is flexible enough to incorporate both human decisions and machine rules.
Try it Yourself
Visit the election decision tool at: elections.decisionproducts.aiand select the state in the box in the upper left corner.
Apps Consultants builds tailored decision tools using software analytics for companies to find irregularities that can cost businesses thousands of dollars if the error is not caught quickly.
Florida Voters are Key
When building the election tool, Ashwin Pingali, chief technology officer for Apps, noted that the tool first projected a Florida win by Vice President Joe Biden based on the volume of mail-in ballots from Democrats. Now that early votes are also being recorded, President Trump is pulling ahead in the projections. The tool pulls votes by county.
“There are six counties in Florida where Democratic turnout is lagging behind the Republicans,” Pingali noted. “Unless Democrats increase voter turnout, President Trump will win Florida,” based on the projections of the tool as of October 29.
Apps Consultants uses Artificial Intelligence and three types of contextual intelligence to help highly automated businesses manage their operations. For more information, visit decisionproducts.ai.