DISASTER CATEGORIZATION USING AI TECHNOLOGY

Abstract

Disasters occur worldwide taking lives of millions of people every year along with infrastructure damage. Different types of disaster occur in different regions of the world ranging mainly from earthquakes, tsunami, floods, hurricanes and wildfires. Countries employ different methods for the identification of disasters which is a major part of disaster management. After identification, different relief measures are taketi for the people of disaster hit areas along with damage assessment. Information sharing on social media has increased drastically over the past few years. The main information sharing platforms are twitter, Facebook, Flickr, Instagram etc. Within seconds information can be shared and viewed by social media users. In this project we present a unique technique for disaster categorization and identification using ML/ AI which also categorizes tweets into different disaster categories. Twitter is used as the main data source.