Catastropheguard

Abstract

Predicting natural disasters is a complex and challenging task, but AI and machine learning technologies hold great potential to improve our ability to forecast and respond. This chapter examines disaster data and provides a suitable catastropheguard AI for disaster management. Authorities are able to make well-informed choices on this basis. Its real-time processing and analysis of massive volumes of data helps us anticipate, better prepare for, and react to natural disasters. Catastropheguard AI uses sample images available on the internet—5683 images are taken for study which includes earthquake, flood, cyclone, and drought. Proposed prediction algorithms for catastropheguard AI are discussed and accuracy is found to be 94% compared with existing deep learning algorithms.