Research Article
SANJYOT – WE SAVE LIFE Using Big Data - Apache Spark
@ARTICLE{10.4108/eai.16-10-2020.166660, author={Nipun Tyagi and Nikita Chauhan and Ayushi Sighal and Rijwan Khan}, title={SANJYOT -- WE SAVE LIFE Using Big Data - Apache Spark}, journal={EAI Endorsed Transactions on Cloud Systems}, volume={6}, number={19}, publisher={EAI}, journal_a={CS}, year={2020}, month={10}, keywords={Accident, Apache HADOOP, Apache Spark, Big Data, Decision Tree, Hospital, K-Means, Police Station, Transportation}, doi={10.4108/eai.16-10-2020.166660} }- Nipun Tyagi
Nikita Chauhan
Ayushi Sighal
Rijwan Khan
Year: 2020
SANJYOT – WE SAVE LIFE Using Big Data - Apache Spark
CS
EAI
DOI: 10.4108/eai.16-10-2020.166660
Abstract
With its high importance in the Indian economy, roadways are one of the major forms of transportation in India that cannot be avoided. There is a public safety problem with roadways and a significant number of injuries in our minds. Due to lack of proper real-time monitoring of the accident details that could be transferred to the nearest police station, hospitals, the percentage of incidents in the country is rising to such a high level that leads to loss of human life. Paper helps to provide a solution to this issue by providing information on the location of accident and the severity of the victim during the accident, which will be instantly shared with the police station, hospitals with details such as images, location, video and impact of the accident for quicker decision making, will improve the chances of saving the lives of the sufferers. It is a system which is fully automated. Therefore, protecting the lives of individuals will be a huge contribution to humanity.
Copyright © 2020 Nipun Tyagi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
