Live stream processing and sensor-based measurement presentation therein

A computer-implemented method comprising:

• determining, in-real time relative to a first player being in a physical space, first real-time data of the first player, the first real-time data generated during a play in the physical space by at least using one or more sensors also present in the physical space;
• generating, during the play, a first input to a first artificial intelligence model based at least in part on the first real-time data;
• determining a first output of the first artificial intelligence model, the first output being based at least in part on the first input and indicating a prediction of an action to be performed by the first player during the play in the physical space;
• repeating execution of the first artificial intelligence model during the play such as a plurality of outputs of the first artificial intelligence model is generated;
• causing, based at least in part on the prediction, a first presentation of a first user interface element during the play, the first user interface element indicating the prediction, the first presentation updated during the play based at least in part on the plurality of outputs;
• and
• determining a start and an end of the play, wherein the execution of the first artificial intelligence model is repeated at a predefined prediction rate between the start and the end such that the plurality of outputs of the first artificial intelligence model is generated at the predefined prediction rate.

One or more computer-readable storage media storing instructions that, upon execution on a system, cause the system to perform operations comprising:

• determining, after an end of a play by a first player that is present in a physical space, first data associated with the play in the physical space, the first data generated by at least using one or more sensors also present in the physical space;
• generating a first input to a first artificial intelligence model based at least in part on the first data, the first artificial intelligence model trained based at least in part on historical play data and play difficulty data;
• generating a second input to a second artificial intelligence model based at least in part on second real-time data of a second player, wherein the second artificial intelligence model is trained based at least in part on historical player data and ground truth labels indicating historical occurrences of play actions;
• determining a first output of the first artificial intelligence model and a second output of the second artificial intelligence model, the first output being based at least in part on the first input and indicating a difficulty of the play, the second output being based at least in part on the second input and indicating a prediction of an action to be performed by the second player;
• generating, based at least in part on the first output, a difficulty measurement for the first player;
• and
• causing a first presentation of a first presentation element indicating the difficulty measurement and a second presentation of a second element indicating the prediction.