Bloop will be a machine learning project, to measure and then predict the relative humidity levels in a small caravan, named Edwin.

Edwin the caravan has had several leaks whilst in storage, which caused his insides to become quite damp and moldy. Now cleaned, resealed, and smelling quite wonderful, I want to ensure he remains this way.

Bloop will get data feeds from a DHT11 sensor backed off by a Pi inside Edwin, and the Met Office current observations API, logging this data to a MYSQL database (Soon to be RocksDB, cooler, less evil). This data will then be fed to a machine learning package, or API, in order to predict given the observed conditions, what the %rh should be. Measured values above the prediction could indicate that Edwin has spring a leak.

Computttaaaa. Blip blip clicky click bleep bloop.