In the past, weather forecasting relied heavily on prediction models that attempted to forecast weather patterns up to 7 days in advance. However, with the advent of new technologies, advanced computer simulations and data collection methods, we are now able to create highly accurate and detailed models that can provide a more precise picture of current and future weather patterns. These models allow us to simulate various weather scenarios and assess the potential outcomes of different weather conditions in the lead-up to and during a storm. These models can even suggest potential solutions to minimize the impact of extreme weather events. Explore this concept of research, as we transform weather studies, and the application used to alert & inform systems for mass weather events, or changes. These technologies and methods, in tandem will allow critical data to be monitored in real time, and keep updates accurate, consistent, and using AI technology to program precise instructions and diagnostic ability. Allowing AI to streamline the modules, to present both pattern data and asymmetrical / abnormal information that can be translated in real time.