Configurable modular devices and other systems and methods

A removably couplable cup portion comprising:

• a cup housing defining a recess;
• and
• the recess that includes a set of backplate electrical contacts,
• wherein the removably couplable cup portion is configured to be electrically coupled to wires of a junction box via wiring electrical contacts;
• wherein the removably couplable cup portion is configured to be removably coupled to at least one device control assembly, the at least one device control assembly comprising a set of device control assembly electrical contacts configured to electrically couple with the set of backplate electrical contacts of the removably couplable cup portion when the at least one device control assembly is coupled to the removably couplable cup portion and configured to electrically decouple from the set of backplate electrical contacts when the at least one device control assembly is decoupled from the removably couplable cup portion.

A method for displaying a WiFi heatmap of a WiFi system, comprising:

• detecting metrics of a WiFi signal at a plurality of locations in a building via a plurality of device control assemblies, wherein the plurality of device control assemblies are configured to connect to a WiFi network and receive measurements of the WiFi signal;
• generating the WiFi heatmap and improvements to the WiFi system via a heatmap generation module configured to use the measurements;
• displaying the WiFi heatmap to a user;
• and
• suggesting the improvements to the WiFi system.

An artificial intelligence method, comprising:

• storing historical profile data and an artificial intelligence (AI) module in a memory;
• detecting smart device installations;
• and
• suggesting improvements to a smart-home set up based on the smart device installations.

A system comprising:

• a controller communicatively coupled to the system, the controller including one or more processors configured to execute program instructions causing the one or more processors to:
• receive a machine learning module;
• receive node data of one or more nodes;
• and
• generate, using the machine learning module and the node data, output data indicative of at least one of:
• a configuration of one of the one or more nodes;
• a user suggestion for one of the one or more nodes;
• or
• a category for one of the one or more nodes.