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

TL;DR

Coswara is a web-based tool that enables quick COVID-19 screening by analyzing respiratory sounds and health symptoms, providing users with a probability score within a minute, supporting scalable population testing.

Contribution

This paper introduces Coswara, a novel web application that combines respiratory sound analysis and symptom input for rapid COVID-19 detection.

Findings

Provides COVID-19 probability scores within a minute

Accessible via any internet-connected device

Supports large-scale population screening

Abstract

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