Coronavirus Probability Checker
Siddhant Khare
Jabalpur, Madhya Pradesh
- 0 Collaborators
It is a Probability Checker for COVID-19, people can input values and symptoms and according to the data, the patient will get the probability of +ve COVID-19. Currently, I trained this on Random data. If we execute this idea with official Data, it can be very helpful for Peoples. ...learn more
Project status: Concept
Intel Technologies
Intel Python,
Intel Integrated Graphics
Overview / Usage
There is a situation of fear among the people and the spread of fake news is further making the situation worse. This Hack can be used to control this fear by self-assessment of the user and their family. Also, if the prediction comes severe the authorities will be informed and this will be used to control the COVID-19 Pandemic up to a very large extent
Technologies Used
The developed hack is End-user input based Web application. It takes the input from the user for their details and shows a list of symptoms that they may be experiencing and can confuse with Covid-19. On the basis of their entered choices, the received input will be processed and their probability will be shown to them. If the probability is severe or high then the person is prompted to consult a doctor. His input will be stored in the system for Machine Learning. On the basis of this, the priority of the tests can be done so as to reduce the transmission of the disease and also to make the most of limited testing capacity in such highly populated countries such as India. A Machine Learning Model is then trained on the data to find out the probability of a person having the infection. The model is then used to find out whom to test for the infection first under a limited testing capacity. The Same Model can be used to find potential candidates for conducting random tests.
Repository
https://github.com/Siddhant-K-code/Coronavirus-Probability-Checker