A Houndify based chatbot which supports self defined Mercedes-Benz usecases using the Connected Vehicle API.

Run python client_main.py, the file is located in the top level directory.

The application should be self explanatory:

• one can chat by typing into the textbox at the bottom
• one can speek to the system after clicking on the buttom with the microphone symbol
• (TTS is not supported yet)

• The application uses pyaudio which is based on portAudio (needs to be installed on the OS).
• QT5 should be installed such that it can be used by the PyQt5 python package
• for the other dependencies it should be sufficient to pip install requirements.txt

Mercedes-Benz specific usecases exploit the Connected Vehicle API, therefore the following car domains are supported:

• information about tires, doors, location, odometer, fuel, state of charge
• command to (UN)LOCK doors

The information requests are specified as generic as possible on Houndify, therefore a sentence like

• "What is the status of my < car-domain >"
• "Could you given me information about my < car-domain >"
• "How are/is my < car-domain >"

should work for tires, doors, fuel, etc.

For locking the doors try:

• "please tell Mercedes to lock my car"

From a technical perspective five steps had to be done:

• employing the Houndify SDK/API (TextClient & AudioClient)
• defining custom Mercedes-Benz Connected Car usecases on Houndify
• building a python wrapper for the Mercedes-Benz Connected Car REST API and define how to present the vehicle specific usecases to the user
• building the GUI with QT5 (QT5 Designer for the basic static layout and PyQt5 to add chat bubbles dynamically at runtime)
• and of course putting everything together (includes debugging, logging, getting crazy here and there ;) )