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.
