Internet of Things (IoT) devices are proliferating in the modern world, and this has a significant impact on healthcare. It can lower the price of medical care and offer early diagnosis of health issues. A patient that needs to be watched over constantly needs a healthcare monitoring system. In order to save their lives in dire circumstances, elderly patients, in particular, should periodically have their health state checked and informed to the doctor. Quiet people suffer the negative effects of true medical issues because of a lack of adequate health monitoring. Many IoT devices are available today to autonomously monitor patient health in order to address this problem. As of now, there is no other significant and adequate framework, to predict the impact of Covid-19 infection in diabetes patients. The literature has shown a separate ML/DL model for Covid-19 prediction and diabetes severity analysis. This is mainly because of the large gap in the database model. This paper has a detailed study of the machine learning (ML) model combined with IoT devices and the proposed framework would have been used for diabetic patients who were affected with Covid-19 and other symptoms for early prediction.