Treffer: Cyclotech: Deep learning-based cyclone intensity estimation.

The central focus of our project involves training a CNN-based model for cyclone intensity estimation, employing a range of Python libraries, including Pandas, NumPy, Matplotlib, TensorFlow, and Keras. The integration of these libraries streamlines the entire process, from data preprocessing to model training and evaluation, offering a comprehensive and efficient framework for exploring the potential of deep learning in atmospheric sciences. Furthermore, the website of our project has been created entirely using the frontend technologies i.e. HTML5, CSS3 and JavaScript. It shows the user, the type of cyclone and its intensity, from the data been provided by the model that has been trained using deep learning technologies. Our primary goal is to demonstrate the transformative potential of deep learning, specifically CNNs, in advancing cyclone intensity estimation. [ABSTRACT FROM AUTHOR]

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