Automated Detection of Hazards

Countless phenomena such as floods, fires, and algae blooms routinely impact ecosystems, economies, and human safety. Your challenge is to use satellite data to create a machine learning model that detects a specific phenomenon and build an interface that not only displays the detected phenomenon, but also layers it alongside ancillary data to help researchers and decision-makers better understand its impacts and scope.

Detex

Summary

To be updated

How I Addressed This Challenge

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How I Developed This Project

Azure cloud, Azure ml service, python, power bi, pycharm, vs code, python ml packages and etc

How I Used Space Agency Data in This Project

For predictions and train the machine learning model

Project Demo

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Project Code
Data & Resources

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