Inspiration

Since Covid-19 has impacted every facet of human life we wanted to make a project which will be helpful in the current scenario and make lives easier and more predictable

What it does

Displays forecast of Covid-19 cases by using ARMIA and Linear Regression

How we built it

First some preprocessing is done on the raw data where the data is converted into the time series data which is then used as training set.

The training data is then fit into the different models which are evaluated using the evaluation parameters like RMSE.

Python for analysis and prediction and Streamlit

Challenges we ran into

Removing the faulty values in dataset which were biasing our results

The algorithms require the data to be stationary, however due the programs dynamic nature, it is impossible to make the stationary while also not compromising on time. Hence the data is assumed to be stationary

What we learned

Building ML web-apps with streamlit

What's next for Covid-19 Cases Predictor

Adding more algorithms for prediction

Improving accuracy of predictions

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