Open Water Journal

Article Title

A Software System Proposing the Processing of Crowdsourced Data to Monitor a Flood Event: An A.I. Approach

Authors

Arya Tanmay Gupta, Ramanujan College (University of Delhi)Follow

Keywords

Crowdsourcing, machine intelligence, mathematical notations, disaster, modelling

Abstract

We present Fics (Fetch information through crowdsourcing), a platform that is ready-to-take posts from social media platforms and infers the water heights referred in them. These posts are expected to come from the citizens who are witnessing a flood event in real time. Fics corrects the spacing in the string, translates the string into corresponding mathematical notations and then finally compute the water heights from the posts.

The objective of Fics is to provide such a platform that can be used for the citizens from the data received from them only, without making them use a software which is to be installed on their machines separately. Fics employs Artificial Intelligence to infer the required values (water heights) from the posts. Fics ignores the invalid input strings.

BYU ScholarsArchive Citation

Gupta, Arya Tanmay (2018) "A Software System Proposing the Processing of Crowdsourced Data to Monitor a Flood Event: An A.I. Approach," Open Water Journal: Vol. 5: Iss. 2, Article 2.
Available at: https://scholarsarchive.byu.edu/openwater/vol5/iss2/2