Covid-telehealthcare using deep learning algorithm in smartphone application with cough sound input.

The major problem during this pandemic era is detecting the presence of virus rather than curing the person affected from it, since it spreads enormously from one to another. While humans especially doctors has to indulge in providing environment,there is a need of something which can take the decisions on its own and can detect the disease efficiently. There comes the concept of Artificial Intelligence. In this paper, we proposed the telemedicine application, which is a m-health based Smartphone Application which can detect the presence of corona virus. Thepossible symptoms mode which involves in providing symptoms like Cough sound mode which involves in audio recording of cough as the input. When the user data will be sent to Deep Learning model in the server using internet, the Deep Learning Model algorithm then returns the covid infection probability. These results will show that proposed method of covid detection using cough sound using deep learning and achieve more accuracy than other methods. This model can identify Covid-19 patients with cough sound. This model may not completely avoid the interference of mankind in stopping the spread of Covid-19, but definitely provides immense assistance to man kind. [ABSTRACT FROM AUTHOR]