In this project, we developed a predictive model to determine whether individuals received the H1N1 and seasonal flu vaccines based on their demographic, social, and behavioral data. The project revisits the public health response to the 2009 H1N1 influenza pandemic, leveraging data from the National 2009 H1N1 Flu Survey conducted in the U.S. We used machine learning techniques to analyze various factors, including personal opinions on vaccine effectiveness and health behaviors. This project provided valuable insights and patterns that can inform future vaccination strategies