The document summarizes the progress and plans of a team developing an AI-powered smartphone app for COVID-19 screening. It discusses improving the cough-based machine learning models on clinical data to achieve 80%+ accuracy. The team built an MVP and collected over 300 clinical samples and 500 crowdsourced samples to test their hypothesis and gather data. Their next steps are to gather more diverse data through crowdsourcing and clinical studies, refine the technology, and solidify partnerships with organizations to expand testing and access globally.