This document presents a proposed solution for using Internet of Things (IoT) technology and machine learning to help address challenges posed by the COVID-19 pandemic. The document outlines an agenda including problem definition, introduction, related work, and proposed solution. Under proposed solution, the presenter proposes optimizing the K-Nearest Neighbor algorithm using salp swarm optimization to predict early COVID-19 based on patient history and current symptoms. A second proposal involves using a multi-objective marine predators algorithm for feature selection on COVID-19 x-ray data. The document discusses how IoT can provide an integrated network for healthcare during the pandemic by connecting medical devices to automatically alert staff during critical situations.