Disaster Agnostic Alerting System for MitigationJournal: International Journal of Science and Research (IJSR) (Vol.10, No. 11)
Publication Date: 2021-11-05
Authors : Ankush A Mishra; Ganesh M Bhat;
Page : 1461-1464
Keywords : Machine Learning; disaster management; warning systems; media;
We propose that in the event that a disaster [Disaster is defined as a serious disruption of the functioning of a community or a society involving widespread human, material, economic or environmental losses and impacts, which exceeds the ability of the affected community or society to cope using its own resources. [Definition from International Strategy for Disaster Reduction], man-made or otherwise, has occurred, the fastest means of communication to any citizen in any part of the world is the media. Nothing travels as fast as the current media today, which is a direct consequence of the Internet. This print and online media can thus be used as a source of the fastest warning system to any authority present in the world. We thus, give a system, which can in effect be ac- curate enough to predict whether a media within a time frame is related to a disaster or not.
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