Method and apparatus for generating a record of an event or a conversation

A system of generating a record for an event based on an audio data of the event, the system comprising:

• a processor;
• and
• a non-transitory computer readable storage medium storing instructions which, when executed by the processor, cause the processor to:
• retrieve an event template associated with the event;
• determine whether the event template includes at least one placeholder intent field and/or at least one generator intent field;
• in response to determining that the event template includes the at least one placeholder intent field, prompt a machine learning model to search a transcript of the audio data for placeholder information associated with the at least one placeholder intent field to populate the at least one placeholder intent field, wherein the instructions which cause the processor to prompt the machine learning model to search the transcript comprise instructions which cause the processor to:
• determine if the placeholder information associated with the at least one placeholder intent field is absent from the transcript;
• and
• in response to determining that the placeholder information associated with the at least one placeholder intent field is absent from the transcript, prompt the machine learning model to generate a re-prompt to a user to provide the placeholder information;
• and
• in response to determining that the event template includes the at least one generator intent field, prompt the machine learning model to process the transcript to generate generator information to populate the at least one generator intent field.

A non-transitory computer-readable medium storing instructions thereon, wherein the instructions are executable by a processor to cause the processor to perform a method of generating a record for an event, the method comprising:

• retrieving an event template associated with the event;
• determining whether the event template includes at least one placeholder intent field and/or at least one generator intent field;
• in response to determining that the event template includes the at least one placeholder intent field, prompting a machine learning model to search a transcript of audio data of the event for placeholder information associated with the at least one placeholder intent field to populate the at least one placeholder intent field, wherein prompting the machine learning model to search the transcript comprises:
• determining if the placeholder information associated with the at least one placeholder intent field is absent from the transcript;
• and
• in response to determining that the placeholder information associated with the at least one placeholder intent field is absent from the transcript, prompting the machine learning model to generate a re-prompt to a user to provide the placeholder information;
• and
• in response to determining that the event template includes the at least one generator intent field, prompting the machine learning model to process the transcript to generate generator information to populate the at least one generator intent field.