AI-Driven Flood Forecasting and Response System

Natural hazard risks appear to be increasing due to the climate constantly changing. The effect of not being prepared for a natural hazard can either be minimal or could result in a natural disaster. Although we cannot prevent natural hazards/disasters from happening, we can, however, be prepared. Technology has become so advanced that we have access to real-time data analysis which in turn helps us make decisions more efficiently. Machine learning technology such as weather radars and satellite imaging can prepare us early for natural hazards such as hurricanes, storms, floods, and other natural hazards. These machine learning technologies can also help evaluate a disaster's location and the degree of the damage leading to having a more effective disaster response operation. Machine learning is a subset of AI, which has provided many new advancements in assessing patterns and algorithms associated with natural hazards. With the use of these new techniques, we can build optimized prediction models that analyze datasets and trends at a higher response rate as opposed to traditional methods. In regard to Natural Hazard Management, this provides the solution to increased response times and preventative measures.