Virufy, a consortium of students, innovators, and scientists across 25+ universities and 15+ countries, is uniting the world through a global artificial intelligence (AI) database of crowdsourced cough sounds to identify patterns that signify respiratory diseases such as COVID-19. We are a Stanford University COVID-19 Response Innovation Lab project, have been featured in One Young World, and in the press.
In March 2020, we began pioneering the development of a free, AI-powered smartphone app to detect COVID-19 infection in minutes. Our efforts were paralleled by those of prestigious research institutions, including Cambridge, CMU, and MIT. Several models have demonstrated that AI can predict COVID-19 infection with more than 80% accuracy including those shown in our Stanford-faculty reviewed research paper.
However, to ensure that accurate COVID-19 digital detection technology is equitable and accessible everywhere, we are tapping into our network spanning 195+ countries to gather cough data that represents diversity across the global population. Our crowdsourced database of cough sounds will be used to encourage global collaboration and accelerate digital detection of COVID-19.
Global health champions Bill and Melinda Gates argue that, "there is no such thing as a national solution to a global crisis” (1). Virufy is a global solution for a global crisis.
Because rapid development = lives saved through early detection of COVID-19, we need your help now more than ever! Our fundraising targets are as follows:
1. Data Collection Infrastructure: $1,100
a. Server, storage, and compute costs
2. Operational and Administrative: $1,700
b. Nonprofit registration, accounting
3. Global Marketing: $5,000 - $100,000
a. Paid social media advertising
b. Google ads
c. Search engine optimization consulting
d. Development of marketing strategy and materials
e. Professional video production
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