Government officials can make a prediction of the number of cases till any future date and they can be prepared for that in advance so they don't lack any sorts of equipments or arrangements. It is also helpful to WHO(World Health Organisation) they can declare their results or suggestions to all the countries how to tackle such problems. This will help to fight against disease.
The main challenge was to train the model as Machine Learning model requires accurate data but thanks to WHO who had provided the dataset and the biggest problem while training the model was the dates. ML model takes only numbers as input so a lot of preprocessing task was done in training the model but we got over it. The next problem we faced was selecting the best algorithm which will predict the accurate solution. After a lot of trial and error method finally we found the best algorithm.
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