SANJYOT – WE SAVE LIFE Using Big Data - Apache Spark

Authors

  • Nipun Tyagi ABES Institute of Technology
  • Nikita Chauhan ABES Institute of Technology
  • Ayushi Sighal ABES Institute of Technology
  • Rijwan Khan ABES Institute of Technology

DOI:

https://doi.org/10.4108/eai.16-10-2020.166660

Keywords:

Accident, Apache HADOOP, Apache Spark, Big Data, Decision Tree, Hospital, K-Means, Police Station, Transportation

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.

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Published

16-10-2020

How to Cite

[1]
N. Tyagi, N. Chauhan, A. Sighal, and R. Khan, “SANJYOT – WE SAVE LIFE Using Big Data - Apache Spark”, EAI Endorsed Trans Cloud Sys, vol. 6, no. 19, p. e6, Oct. 2020.