Paper Key : IRJ************949
Author: Mayuri Pawar,Dnyaneshwari Phadtare
Date Published: 23 Jan 2023
Abstract
To reduce the consequence of viral diseases it is necessary to avoid its spread which can be achieved by asserting social distance. All viral diseases whose means of communication is air, and enters via mouth or nose definitely will affect our organs which cause changes in our voice and which could be traceable using feature analysis of voice employing deep learning. The detection of an infected person can be done by deep neural networks and tracking that individual will be helpful in the implementation of the physical distancing wherever it is needed. The main aim of this paper is to study how we can detect viral disease and implement social distance around that infected person. In this paper, we implemented and analyzed scenarios on the basis of viral disease patient detection using deep learning techniques and preventing its spread.