Artificial Intelligence - MogIA Software for Election Prediction

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Election forecasting appeals to a basic human urge to peek into the future. Ever since the elections were invented to choose leaders, humans have been tempted to find ways that would tell them with some degree of certainty who would win an election.With the advent of statistical techniques, electoral data have become easy to handle. It is no surprising that election forecasting has become a business. These forecasts are derived from the theories & evidences about what matters to voters when they make election choices with the use of Artificial Intelligence.

In U.S. Mog IA software has been quite effective in forecasting election results. This is an Artificial Intelligence system and predictor and has now successfully predicted its fourth election in a row. The system created in 2004 by Mr. Sanjiv Rai, Indian technocrat, has been learning from its environment and getting smarter each day.

The system, which learns in real-time by analyzing Data from internet, placed its bets on Trump in October 2016 to win presidential election after it successfully predicted both Democrats and Republican party primaries. While most algorithms suffer from Programmers/ Developer's biases, MoG 1A aims at learning from her environment, developing own rules at the policy layer & develop
expert systems without discarding any Data. 

The term ' Mog1A' has been derived from 'Mowgli', the child from Rudyard Kipling's novel 'The Jungle Book'. It was thought to be a most suitable model because it learns from Environment. The software takes in 20 million Data points from Public platforms like Google, Facebook, Twitters and You tube  and then analyzes the information to create predictions.Data as engagements of Tweets or Facebook live videos have been taken into account.

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