TITLE:

Coronavirus Probability Detector.

PROBLEM DEFINITION:

As we know that the whole world is affected by the coronavirus. In this we have make a “Coronavirus Probability Detector” using python and machine learning concepts. This project is very different yet helpful for all of us in such a pandemic situation.

PREREQUISITES:

Any web browser.

SOFTWARE REQUIREMENTS:

Visual Studio Code, Python.

OUTCOMES:

• Detects the COVID-19infection probability according to patient’s symptoms • Stop the transmission by prioritizing tests and hence detecting the cases quickly. • The model is then used to find out whom to test for the infection first under a limited testing capacity.

OBJECTIVES:

• A sample set of parameters is as follow:

1. Average Fever-Continous
2. Body Pain-0/1 Binary
3. Age-Discrete
4. Runny Nose
5. Breathing Problem- Categorical: 0/1/-1 • Detects probability easily. • To make it easier to calculateq the infection probability at any time and any place.

Conclusion:

This machine learning model is trained on the data to find out the probability of a person having the COVID-19 infection.