Keywords: Tornado, Magnitude
The United States experiences around 1274 tornadoes on average annually, causing substantial human and economic losses. Predicting these rare but devastating events is crucial for preparedness. A research project explores using Deep Learning, particularly Artificial Neural Networks (ANNs), to predict tornado magnitudes in the US. Unlike traditional Machine Learning, ANNs can grasp complex patterns without explicit feature engineering, making them valuable for such predictions. This study leverages AI's capabilities to develop an effective tornado prediction model.
Aim
To predict the Magnitude of the US Tornado Using ANN Technique
Objective
Develop an Artificial Neural Network (ANN) based predictive model to accurately forecast tornado magnitudes in the United States, contributing to effective disaster preparedness and mitigation strategies.
ANN Technique used
Jupyter, Google Collab
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