The problem Inhaler Count Predictor solves

The main idea behind this applicaiton is the fact that, the atmospheric temperature, air density and age of a person were one of the factors influencing the usage of inhaler by a person with breathing problems. This application will be used to people with breathing problem who were traveling frequently. They can easily predict the usage of inhaler per day when they were travelling to some places. Also, this web application will be used to people to find the number of times a person need to use the inhaler.

Challenges we ran into

The main challenge we ran into is the creation of dataset. It was the main time consumed task.
The next challenge is the usage of the Machine Learning Model which gives more accuracy. we then found that Decision Tree Classifier gives more accuracy.