Social media use is at an all-time historic high for India, so we considered one popular social media platform, Twitter, and tried to see if we could predict how a group of people felt about an issue by only analyzing posts from social media. For our research, we looked at tweets that focused on the 2019 Indian Prime Minister Election. Using these tweets, we tried to find a correlation between a person’s tweets and whom he is going to vote. We wrote a program to collect tweets that mentioned one of the candidates, then developed a sentiment algorithm to see which candidate the tweet favored, or if it was neutral. After collecting the data from Twitter and comparing it to the results of the Electoral College, we found that Twitter sentiments corresponded with 73.8% of the actual outcome of the Electoral College. The overall sentiment of all tweets collected leaned more positively towards BJP than it did for Congress. Using the tweets that were collected, we also try to predict at how different geographical locations affected a candidate’s popularity.