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.

翻译：COVID-19大流行加速了设计替代的、快速有效的COVID-19诊断方法的研究,在本文中,我们描述了科斯瓦拉工具,这是一个网站应用程序,旨在通过分析呼吸系统声音样本和健康症状来检测COVID-19。使用这一服务的用户可以使用与互联网连接的任何设备登录网站,提供当前健康症状信息,记录与呼吸、咳嗽和言语相对应的检测声音很少。在云层服务器上对这一信息进行分析的一分钟内,网站工具将给用户带来COVID-19概率分数。由于COVID-19大流行继续要求大规模和可扩展的人口水平测试,我们推测拟议工具可能为此提供潜在解决方案。