Sound-based Detection of Detection of COVID-19 using Machine Learning
In the year of 2021, even with the development of a COVID-19 vaccine, the emergence of COVID variants have solidified the disease as a consistent presence in the foreseeable future. Current widespread testing methods for the virus are slow, expensive, or require specialized equipment to yield accurate results, causing uncertainty and spread while results are processed, and also disproportionately impact low resource communities that do not have access to equipment needed. This project sought to find a machine learning framework for COVID-19 classification using cough sounds only, providing instant, low cost, high accuracy test results and eliminate or significantly reduce the problems in existing methods.