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The COVID-19 pandemic has accelerated research on design of alternative,quick and effective COVID-19 diagnosis approaches. In this paper, we describethe Coswara tool, a website application designed to enable COVID-19 detectionby analysing respiratory sound samples and health symptoms. A user using thisservice can log into a website using any device connected to the internet,provide there current health symptom information and record few sound sampledcorresponding to breathing, cough, and speech. Within a minute of analysis ofthis information on a cloud server the website tool will output a COVID-19probability score to the user. As the COVID-19 pandemic continues to demandmassive and scalable population level testing, we hypothesize that the proposedtool provides a potential solution towards this.

Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms