Determination of Relief Centre’s in Floods by Using Facebook JSON Data and providing Social Information Analysis
Garvit Khurana1, Mudit Agarwal2, Lokeshkumar R3
1Garvit Khurana, Department of Computer Science, Vellore Institute of Technology, Vellore, India.
2Mudit Agarwal, Department of Computer Science, Vellore Institute of Technology, Vellore, India.
3R Lokesh kumar, Department of Computer Science, Vellore Institute of Technology, Vellore, India.

Manuscript received on 13 April 2019 | Revised Manuscript received on 19 May 2019 | Manuscript published on 30 May 2019 | PP: 635-638 | Volume-8 Issue-1, May 2019 | Retrieval Number: A7088058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A fully interactive system that allows users to access the nearest relief centre’s by using integration of geolocation, GPS and multimedia data collected from the user’s smartphone and using Social Information analysis of Facebook JSON data. The user will be able to share the content with other socialites in the social network. Our paper is based on collecting Facebook JSON data and applying geotagging to the location of users to recreate safe and unsafe localities and combines them with various social media analysis tools determine a centre to escape the flood and have access to the quickest path to pursue during floods or any other emergency situations. It provides an approximation of the nearest relief centre by using Google Maps and Street View API to determine the real life location of the user and point in the direction of all the relief centre’s being set up by The Indian government and help him reach there. Thus in times of natural calamities by applying various social Information analysis techniques we will be able to determine the relief centres by using Facebook JSON data and be able to mark themselves safe.
Index Terms: Clustering, Disaster Management, Facebook,
Social Media
Scope of the Article: Neural Information Processing