CovidHealth - COVID19 Identification using Machine Learning

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  Common Symptoms Analysis

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  AUC Analysis

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  Correlation Matrix

Inspiration

As the number of cases is rising, the test capacity in an area is also at a high rate. So, to give preference to certain people for conducting the test, I have thought of designing an ML model that will predict the probability of a person whether he/she is infected or not.

What it does

The Machine Learning Model takes various parameters such as Age, Gender, and the list of common symptoms for COVID19 to predict whether a person is infected or not.

How I built it

1. sklearn library
2. Visualized the problem statement with Jupyter Notebook
3. Programming Language: Python

Challenges I ran into

• Gathering the dataset,
• Choosing the appropriate model.

What's next for CovidHealth - COVID19 Identification using Machine Learning

Integrating the concept with the frontend web so that normal people can access this and check their score.

Built With

• python
• sklearn