Deep Learning and IoT for COVID Detection and Health Monitoring

Covid-19 has been spreading globally since 2019, and the significant death toll from delayed detection has been a consequence. One way to solve this issue is to use AI to swiftly identify Covid-19 without having to deal with problems like a shortage of testing kits. To this end, this study has developed a system that uses both deep learning and machine learning techniques to detect the presence of Covid-19 in lung X-ray images. While the KNN method is used in machine learning to classify the image and detect COVID-19, DF-Net is used in deep learning to optimize the image and provide more clarity. Because DL and ML algorithms work together, this method combines the advantages of a high degree of accuracy with a shorter training period. This study also integrated a health monitoring system that uses Internet of Things (IoT) sensors to take a patient’s temperature and heart rate; the data is updated on the cloud.