This project done by ICFOSS is an attempt to estimate precipitation using machine learning techniques with sound loudness as an input data. It contains supporting scripts to log sound loudness using acoustic sensors and its corresponding data analysis and machine learning models.
This is not needed as the chirp stack server has timestamps associated with the incoming data.