N

novelCorona Virus Tracker

The spread of the pandemic increased exponentially leading to quite a havoc in the minds of the people. People with simple symptoms of flu also panic quite a lot, so this application solves the issue

N

novelCorona Virus Tracker

The spread of the pandemic increased exponentially leading to quite a havoc in the minds of the people. People with simple symptoms of flu also panic quite a lot, so this application solves the issue

The problem novelCorona Virus Tracker solves

The people with normal flu and cough or even bad breathe like symptoms panic a lot in the recent outbreak of the pandemic and moves into the state of hypertension and depression. Our application supports the improvement in the quality of life of the people by showing some of the insights of different kinds of disease and whether they should visit a doctor and for day or two if normal flu like tendencies is there, then our platform educates people about the recent healthcare and preventive measures to be taken during the same. If the problem persists for a restricted period then it would redirect a message in the text box depicting the precautionary actions that should be taken immediately without fail so that situation may not become much worse. The application also depicts a tracker model which notes down all the cases throughout the globe and also advices people for the immediate actions on the travel plans and procedures of self-quarantine to stem the spread of the virus causing the threating to such gigantic masses.

This application can also be used by the government of India , taking as an executive preventive measure and also to spread the words among the public and to educate the properly and more in an effective way.

Challenges we ran into

While integrating the web-application making it responsive was a challenging task.
The use of data for plotting the data using plotly was time consuming as the the information which we got through the pasrer using a javascript function through the datasets of JOHN HOPKINS UNIERSITY was an effective challenge.
The integration of mapAPI for the mobile application and the integration to the app using Apple.SwiftAPI Key.
The disease prediction model could be much better machine learning model with enhanced data sets so that accuracy touches the apogee but keeping in account of time as well as deployment we focused on a simple model.
The future scope of the problem may be focused on some of the other outbreaks and guide people on the same through the medium of Digital India.

Discussion