The ability to predict rapid intensification five days in advance could significantly reduce the risks faced by coastal communities. Hurricanes like Michael (2018), Harvey (2017), and Otis (2023) caused catastrophic damage due to unexpected intensification, resulting in billions of dollars in losses and numerous fatalities. For example, Hurricane Michael rapidly strengthened into a Category 5 storm with 160 mph winds, devastating Mexico Beach, Florida, and causing $6 billion in damages. This new forecasting tool could help residents and emergency officials better prepare for such events, potentially saving lives and reducing property damage.