###Smart home statistics, control, integration and prediction center.
This application is built around Raspberry Pi and DHT digital temperature and humidity sensors to detect trends between temperature and furnace/AC usage. The project will eventually grow to be an IoT smart home command center.
The core of this program will be an analytical engine, that will calculate various statistics and hopefully make accurate predictions, and draw useful conclusions within a decent realm of certainty around energy efficiency.
Initially the program will be built around temperature, and predicting ways to increase efficiency. We will slowly add features like lighting and such, and when time allows, controlling ductwork and windows.
The application uses MySQL and Spring CRUD repositories to persist data.
The source for the Raspberry Pi application and be found here
The scheduled backup service can be found here
Please feel free to contribute features pertaining to your own smart home incorporation.
The program is built with Springboot, React, Redux, axios, Scala and py4j Python Java gateway Library to incorporate the Raspberry Pi.
Branches will be named by toDo- or bug- or s-