Car Insurance System

Authors

  • Ms. M. S. Sawalkar  Assistant Professor, Department of Computer Engineering, JSPM Narhe Technical Campus, Pune, Maharashtra, India
  • Ruturaj Kumbhar  B.E. in Computer Engineering, JSPM Narhe Technical Campus, Pune, Maharashtra, India
  • Krishna Jamkar  B.E. in Computer Engineering, JSPM Narhe Technical Campus, Pune, Maharashtra, India
  • Mihir Mandlik  B.E. in Computer Engineering, JSPM Narhe Technical Campus, Pune, Maharashtra, India
  • Harshawardhan Patil  B.E. in Computer Engineering, JSPM Narhe Technical Campus, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT2390269

Keywords:

Automotive insurance, MERN.

Abstract

Many automotive insurance providers are looking to improve their service for their customers, businesses are starting to adapt and implement various methods of analysing data for performance, as a result giving better service for their customers from a better understanding of their needs. The main focus of this project therefore is targeted at automotive insurance providers looking to implement this into their business, the project would also be beneficial to stakeholders. We propose a system built using MERN tech Stack for a better customers experience, by suggesting them the most appropriate cover in time. The requirement for this system is to perform a more efficient up-selling than classic marketing campaigns.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-04-30

Issue

Volume 9, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ms. M. S. Sawalkar, Ruturaj Kumbhar, Krishna Jamkar, Mihir Mandlik, Harshawardhan Patil, " Car Insurance System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.623-628, March-April-2023. Available at doi : https://doi.org/10.32628/CSEIT2390269