Contact Tracing Detection Application for Covid-19 using Machine Learning Techniques

A Contact Tracking Model is designed to combat the COVID-19 outbreak by incorporating Clustering/DBSCAN Algorithms, which fall under the realm of Machine Learning. The procedure used by public health ministry's to assist control the spread of infectious diseases like COVID-19 within a community is known as contact tracing. Performing contact tracing correctly during a pandemic can assist limit the number of people who become infected or speed up the process of treating those who are already affected. We will create clusters using this model, which will assist us find infections by filtering the data in the clusters. The high-density clusters are the areas where a big number of people are likely to come into contact with an infected person, whereas the low-density areas can be overlooked because they contain a lower number of people collected together.