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
- sklearn library
- Visualized the problem statement with Jupyter Notebook
- 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.
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