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Completed Project


Smart Radon Forecast uses correlation factors that can affect radon data such as indoor and outdoor air pressure, precipitation, indoor and outdoor temperature, indoor and outdoor humidity, and indoor and outdoor fine dust based on radon measurement data nationwide.

Implementing an hour-per-hour forecast with optimum weight and correlation with machine learning through functions such as Google’s TensorFlow and Keras.

It was commissioned and developed by BetterLife, a company specializing in radon.

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