Recently there has been a lot of natural disasters happening around the world. So our team want to create a Maximum Wind prediction program to help predict the damages of Hurricanes, in order to avoid severe negative consequences.

What it does

This program takes input of location (Latitude and Longitude) and time of the Hurricane and outputs the maximum wind speed.

How we built it

We built it with python and data from []

Challenges we ran into

It was hard for us to find a model that has the best prediction and the highest accuracy. We tried a lot of different models (KNN, linear regression, Naive Bayes, Neural Networks, etc.)

Accomplishments that we're proud of

We are proud to achieve a mean square error of 749.77 for Atlantic Hurricane prediction and 630.35 on Pacific predictions.

What we learned

We explored the different algorithms for Machine Learning and learnt how to work with teammates in different time zone.

What's next for Maximum Wind Hurricane Prediction Program

Next, we want to improve the accuracy of this program and make it more advanced with a better presentation.

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