Past weather data like air temperature, wind speed, rainfall, and soil moisture can be used to train a machine learning model. Once trained, the model was given predicted future weather data which it used to calculate the future rates of flash drought in the Southeastern U.S. Flash drought is when the soil becomes very dry in a short amount of time due to high temperatures and low rainfall. Thus, machine learning can help predict the future occurrences of flash droughts to help people and places prepare early.