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
Built With
- ourworldindata
- python
- streamlit
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