Nick Bortolotti

Interacting with the Arlo system is very attractive for who acquired the hardware and enjoy all the benefits of these equipments. Which by the way are very good, flexible and full of good properties. To interact with this system with a developer's perspective I found two interesting python-based projects. Python-arlo:  https://github.com/tchellomello/python-arlo Arlo:  https://github.com/jeffreydwalter/arlo Both propose different features but Python-arlo has a good documentation and structure of its API. The objective for this integration is to support applications from Google Assistant , for this reason I  integrated the service into an App Engine flex env project. I included flask as an interaction framework and with this I have the option to use a service interface. This would be our ideal architectural map: We looking for continue with the application initiated from: Hey Google ... Where is my dog? * Of course we will have to implement

The creation of an application using Google Assistant is very simple and represent a big impact to interact with users in diverse environments and particularly in home Hey Google ...Where is my dog? If we plan to connect a security camera system, the challenge of finding my pet in an automated way is more feasible, then I will give more details of how I intend to do it. Now we are going to prepare the functionality of the assistant’s requests. To create an agent and interact with Google Assistant , we will use DialogFlow . Let's see the main elements to create an agent, and using this agent call a webhook with some functionality. * Part of the objective will be to try to prepare the logic of interaction with a home security system * Arlo System From the DialogFlow console, we will create a new agent: We can customize different support languages, for this case I will use English to facilitate the testing of the agent. [You can include Spanish and also go in