Development of an integrated covid-19 tracking and monitoring system

Abstract

During the COVID-19 pandemic, several policies were instituted to help mitigate the spread of the virus and contact traceability as the virus is spread through person-to-person and person-to-surface contact. One of these was a mandatory completion of a COVID-19 compliance form that captured the details of users of a premises before being granted access. This project proposes an integrated COVID-19 monitoring and tracking system that ensures that the filing process of the compliance forms is fully automated, thus eliminating person-to-person and person-to-surface contact. The automated system will use machine learning algorithms for facial recognition and Natural Language Processing developed in Python to interact with the client through voice prompts.