I turned a Raspberry Pi into a tiny weather intelligence powerhouse
A Raspberry Pi Zero 2 W paired with a Sense HAT V2 runs a fully self-contained, edge-native machine learning weather station with no cloud, GPU, or heavy ML frameworks. The system uses pure NumPy implementations of Recursive Least Squares, Kalman filtering, conformal prediction, and drift detection, staying under 150 MB RAM. The station continuously updates… Read More: I turned a Raspberry Pi into a tiny weather intelligence… »
