International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

Downloads: 0

Research Paper | Data & Knowledge Engineering | India | Volume 10 Issue 11, November 2021

Disaster Agnostic Alerting System for Mitigation

Ankush A Mishra | Ganesh M Bhat

Abstract: 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.

Keywords: Machine Learning, disaster management, warning systems, media

Edition: Volume 10 Issue 11, November 2021,

Pages: 1461 - 1464

Disaster Agnostic Alerting System for Mitigation

How to Cite this Article?

Ankush A Mishra, Ganesh M Bhat, "Disaster Agnostic Alerting System for Mitigation", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR211127133130, Volume 10 Issue 11, November 2021, 1461 - 1464, #ijsrnet

How to Share this Article?

Similar Articles with Keyword 'Machine Learning'