Predicting Election Outcome and Voting Trend with Generative Machine Intelligence

The present research gives extensive attitude towards using Gen AI for foretelling election results and also analyze the behavior of the voter while voting. By capitalizing various data sources from preceeding election outcomes, public polls, media reports and sometimes economic indicators Gen AI prepares as efficient and explained forecast. After crucial phases if data making, that includes normalization, cleaning and feature of engineering the method also involves the training and optimization also includes validation. The research also goes through ethical criteria such as fairness and privacy with efficient techniques for visualization, This method enhances the transparency and reliability of voter perception and also election forecasts.