System and method for real-time augmented reality-based visualization, customization, and transaction of interior design

A method comprising:

• storing on a server user interior design preference information and user demographic information;
• and
• scanning at least one room associated with a user device to generate at least a 3D image and physical dimensions of the room including elevation, the 3D image including movable and immovable objects and defining a floor plan,
• the server having access to the least one user device;
• and
• optionally selecting one of the options of (i) allowing the server to serve at least one furnishing, a recommended furniture layout having multiple furnishings for the at least one scanned room and (ii) at least one recommended article of furnishing for the at least one scanned room,
• wherein the option (i) and option (ii) recommendations are generated by an artificial intelligence (AI) model using the interior design preference data and user demographic data,
• selecting recommended furnishings for the furniture layout to form a furniture rendering, and
• training the AI model with at least the options selected by the user to refine future recommendations.

An interior design method comprising:

• collecting information about a user's interior design preferences;
• storing the user's interior design preferences on a server;
• scanning a room with a user scanning device to generate scanned room data file which includes a floor plan and a 3-D image of the room having measured dimensions of the room including elevation, all immovable and movable objects within the room;
• sending the scanned room data file to the server;
• and
• sending to the user's device from the server a first furniture layout for the scanned room, the first furniture layout including multiple movable articles of furniture,
• recommending articles of furniture for the furniture layout based on generative AI model trained at least in part with the user's interior design preferences,
• selecting recommended movable objects including articles of furniture to create a furniture rendering for the scanned room,
• optionally reselecting articles of furniture and optionally moving selected articles of furniture within the scanned room, and
• further training the AI model based on user selections.