Alerting the Accident Zones

Authors(2) :-B. Chandupriya, P. Lakshmipathi

Nowadays, no one in this world is prepared to seem whatís happening around them. even if, if any accident happens nobody cares regarding it. this is often an intention to implement an innovative answer for this drawback by developing an Accident alerting System exploitation robot good phone from the accident zone like great circle and latitude. Predicting studentís performance becomes tougher attributable to save the familyís life and their responsibilities within the society. presently in some countries exploitation most advanced safety models to save lots of lifeís the dearth of existing system ar guards of life however in some cases their conjointly fails that we have a tendency to analyze and monitor the coed progress and perform a way to save lots of life's isn't being addressed. There ar thus main reasons of why this is often happening. First, the study on existing prediction ways remains meagerly to spot the foremost appropriate ways for stop predicting accidents. Second is attributable to the dearth of investigations on the factors poignant lifetime of bright studentís achievements. the most objective of this paper is to supply data in emergence to hospitals, police, families and close to serving to centers. This paper conjointly focuses on however the prediction algorithmic rule is wont to establish the foremost vital dangerous places. we have a tendency to might truly improve security and safety on the road. It might bring the advantages and impacts to the general public.

Authors and Affiliations

B. Chandupriya
Student, Deparment of Computer Science , S.G.S Arts College, Tirupathi, India
P. Lakshmipathi
Associate Professor, Dept of Computer Science , S.G.S Arts College , Tirupathi, India

Accident zones, safety measures, latitude and longitude.

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 467-475
Manuscript Number : CSEIT184181
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

B. Chandupriya, P. Lakshmipathi, "Alerting the Accident Zones", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.467-475, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT184181

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