A natural disaster prediction model is a machine learning or data-driven system developed to forecast the occurrence, severity, or impact of natural disasters such as earthquakes, floods, hurricanes, wildfires, or tsunamis. The primary goal is to provide early warnings, minimize damage, and help authorities prepare and respond more effectively.
These models are vital in disaster management, as they help governments and organizations prepare evacuation plans, allocate resources, and issue early warnings to save lives and reduce property damage. However, despite technological advancements, predicting certain disasters like earthquakes with high accuracy remains a major challenge due to the complexity of natural systems and the unpredictability of geological events.
An earthquake prediction model is a scientific and data-driven system designed to forecast the likelihood of future earthquakes by analyzing seismic patterns, geological data, and geophysical indicators.
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