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CycloNet is a Deep Learning based app for Cyclone intensity computation using INSAT-3D Cyclone Imagery

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CycloNet

Cyclone Intensity Estimation using Deep Learning

A App User Interface where the user can upload INSAT-3D IR Satellite Image of Cyclone which is then passed to our Deep Convolutional Neural Network built in Tensorflow which is trained on Cyclone imagery of various intensities on dataset consisting Raw INSAT-3D satellite captured images on MOSDAC server.

The CNN eliminates the need for usage of traditional methods for accurate center determination to estimate the Cyclone intensity using Satellite imagery.

The Model will return the estimated Intensity of satellite cyclone image in KNOTS instantly.

The Streamlit app is hosted on hugging face platform and Streamlit community cloud.

Hugging Face Link: Link

Streamlit Link: Link

Dataset

Curated Dataset link

Tech Stack Used

Tools : Tensorflow-keras,python,Streamlit,Hugging face

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CycloNet is a Deep Learning based app for Cyclone intensity computation using INSAT-3D Cyclone Imagery

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