Paper Title
Prediction Analysis of Natural Disaster Prediction System

Abstract
Natural disasters are natural calamities that inflict widespread devastation and result in the loss of human lives and property. Natural disasters are large-scale geological or meteorological events that can cause deaths and significant property damage. Natural calamities such as floods, earthquakes, tsunamis, and other natural disasters are examples of such disasters. In this paper, attempt has been made to anticipate the causes of natural disasters, such as floods and earthquakes, in their early stages. This contributes to the preparation and protection of the surrounding. Relevant information about natural calamities is collected from sensors used for sensing different physical parameters critical to analysis of natural calamities. Alarms will be dispatched to nearby places and rescue squads in the event of an emergency, allowing them to take immediate action. Analysis of prediction methods of such natural calamities by various researchers in the past has been done and compared with the prediction techniques using IoT and machine learning currently used by us. Keywords - l Machine Learning, IoT, Natural Disaster