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