While I generally like to work with the sf library in R, it is unfortunate that the R ecosystem when it comes to spatial data is quite heterogeneous: Available spatial formats do not only include vector and raster data, but the structures in which they are stored are also usually heavily influenced by the design choices of authors of certain packages:
Whisper is a transcription software that allows to turn audio files into text. I created a locally running version of it, Wisp, with the aim to give it a simple, intutive user interface. My project can be found here: Wisp
I wrote an ARIMA model to predict the average global temperature. I would not call it a climate model because it only covers one of the many aspects of the climate. Of course, it is much more limited compared to those developed by experts in the field. Still, writing it taught me a lot about forecasting of time series.