Project Current is a collaborative student led project with local industry and Kristiansand International School. The project uses relatively low cost battery driven pressure sensors, and continuously collects data from a local stream in Kvinesdal, where the data is sent wirelessly using Long Range Radio Signals (LORA) to a server. In collaboration with Intoto AS, based at Coverks in Kvinesdal, data on the server is processed continuously and presented.
The goal is to predict floods in the sensor placement area after long term data collection is imputed into a machine learning algorithm.
This is how I came up with the idea for this project:
Our teacher expressed concern about flooding in the town he lives in (Kvinesdal, Agder, Norway). We spoke to him about possible actions that we could take towards improving or helping the safety in the town and he showed us some companies that are working with flood prediction (POWAFA & Intoto).