What's next for Identification of People Likely to get Inflected

The project aims to identify the similarity between those having symptoms and those who are confirmed . After implementation of the grouping of the patients, and those showing the Symptoms we can decide the different types of category .

For this we can use Clustering to club the different patients . After identification of different categories and labels . We can use classification to identify the serverety or likely to be suffering from the infection .

Challenges to have real dataset for getting best performance .

This project is based on the Unsupervised as well as Supervised approach of ML and use of Complex Mathematics to get the clarity on the type and category of patients .

The future aspects of this projects requires the accurate datasets and the best match to get best output and help out the doctors and people .

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