Abstract: This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to “teach” the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.

Abstract: This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to “teach” the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.

Abstract: Exemplary embodiments relate to using a voice user interface for creating a poll to send to users. A poll requestor can create a poll using voice instructions and specify response options and setup information. After creating the poll, the system broadcasts it to users who can respond to the poll. The poll may be broadcasted while a user is receiving content. The users can respond using a voice user interface. The system compiles the responses and provides them to the poll requestor.

Abstract: Disclosed are various embodiments for facilitating the purchase of excess items. In one embodiment, customer information and inventory data are retrieved from a merchant client. A determination is made on whether excess items exist. A list of target purchasers is generated based on data associated with a user account, and offers are generated and sent by electronic communication to the list of target purchasers.

Abstract: Disclosed are various embodiments for facilitating the purchase of excess items. In one embodiment, customer information and inventory data are retrieved from a merchant client. A determination is made on whether excess items exist. A list of target purchasers is generated based on data associated with a user account, and offers are generated and sent by electronic communication to the list of target purchasers.