Predict and Track The COVID-19

front end
front end
graph of covid tracker
graph of covid tracker

Predict and Track The COVID-19

The Covid-19 Pandemic had changed the way of living and had pushed people towards the healthy living and made them concerned about their live styles and healthy living. So, we had taken two concerns in mind i.e.

prediction of COVID-19 patient from Chest Xray
COVID-19 Case Counter system

What it does

Prediction of COVID-19 patient from Chest Xray: We had used CNN classifier to predict between the X-Rays of normal people and COVID patient. we had used two data sets

for covid patient we had used and cleaned dataset from :https://github.com/ieee8023/covid-chestxray-dataset

for normal we had used normal X-ray part of dataset from :https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

after that had trained it upto 90% of validation accuracy

COVID-19 Case Counter system: In this we have built an interface where user could easily get update regarding increasing case, sorted by country and also to make good vidualization it creates graph of active case, recovered cases, and total deaths

How we built it

machine learning and Front-end framework

Challenges we ran into

backend

Accomplishments that we're proud of

Predictions are accurate to much extent

What we learned

Classisfication tecniques

What's next for Predict and Track The COVID-19

Prediction of COVID-19 patient from Chest Xray: We had used CNN classifier to predict between the X-Rays of normal people and COVID patient. we had used two data sets

for covid patient we had used and cleaned dataset from :https://github.com/ieee8023/covid-chestxray-dataset

for normal we had used normal X-ray part of dataset from :https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

after that had trained it upto 90% of validation accuracy