The project aims to develop a mobile application utilizing computer vision and machine learning techniques to automate antigen testing for viral load. Specifically, the application focuses on identifying COVID-19 test strips from images, detecting the location of COVID-19 results on various types of test strips, and accurately determining whether the person is COVID-19 positive or negative.