Contact Tracing Using ML

Authors

  • Mrs. M. S. Sandhya Rani  Assistant Professor, Computer Science & Engineering, Anurag University, Telangana, India
  • D Sanjana  Student, Computer Science & Engineering, Anurag University, Telangana, India
  • N Varshitha  Student, Computer Science & Engineering, Anurag University, Telangana, India
  • M Shemith  Student, Computer Science & Engineering, Anurag University, Telangana, India

DOI:

https://doi.org/10.32628/IJSRST52310569

Keywords:

ALU, Adders, Subtractors, Borrow

Abstract

At the time of Cororna, we are undergoing a dangerous situation due to wide spread of “Corona Virus”.If a person is found to be infected with the Corona Virus,, then It is critical to find the persons got contacted with the infected person. This can be done by Manual methods or numerical methods. Technology can be used for Contact tracing is a process that produces more efficient and accurate results than when the procedure is done manually. Contact Tracing is onetype of the processes to identify the infected persons using machine learning. It can help to reduce the infected persons and can fasten the process of treating people who have been infected with a disease. We can save a lot of lives this way. To find the movement of infected person, we use GPS data set that contains time and location of a person. The location data contains longitude and latitude coordinates.

References

  1. https://machinelearningmastery.com/clustering-algorithms-with-python
  2. https://www.kdnuggets.com/2020/04/dbscan-clustering-algorithm-machine- learming.html
  3. https://thecleverprogrammer.com/2021/02/03/dbscan-clustering-in-machine- learning

Downloads

Published

2023-10-30

Issue

Section

Research Articles

How to Cite

[1]
Mrs. M. S. Sandhya Rani, D Sanjana, N Varshitha, M Shemith "Contact Tracing Using ML" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 5, pp.624-628, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRST52310569