/autohome

First steps to achieve home automation applying machine learning

Primary LanguageCSS

About Autohome:

Project Autohome aims to provide a set of modules to acquire, storage, analyse and make ajust suggestion to conciliate home ambient confort and energy comsumption. It basically uses a raspberry pi with components combined to python AI tools. A Webapp supplies interaction to user commands and feedback insights.

Web app

To provide a user interface with temperature and humidity trends information for n ambients. Also to collect user feedback and classification data to improve ML classifiers.

motorHome.py

Temperature and Humidity data aquisition is made every each minute in motorHome.py. Information is stored in sql database provided by Django server.

motorIA.py

Classification routine is made every each minute in motorIA.py. It raises the MLPClassifier available in svm_model.pkl file. This feature is still being developed.