Predicting the 2017 Iranian Presidential Election

Using 1.5 million social media posts, with 4% error. Data gathered through various social media platforms, using an in house model built on cellular automata, developed in python and numpy. The prediction were posted on the day of election. Our model got awarded by Shahid Beheshti University in the same year for exceptional modeling of real world problems.