Systems and methods for interaction detection and evaluation

A system comprising:

• a computing device comprising:
• a memory configured to store instructions;
• and
• a processor to execute instructions to perform operations comprising:
• receiving an audio stream from a first user device that represents a user of the user device serially conversing with a sequence of individuals;
• processing the audio stream to produce a transcript of the audio stream;
• for the user and a first individual included in the sequence of individuals:
• detecting a relevant interaction having a first interaction type and being present in an interaction transcript of the transcript, wherein detecting the relevant interaction present in the transcript comprises:
• processing, using a language processing model, the transcript and an interaction detection prompt comprising an instruction to detect a relevant interaction in accordance with an interaction template for the first interaction type to identify the interaction transcript corresponding with the relevant interaction, wherein processing comprises:
• excluding, using the language processing model, any interaction between the user and the first individual having an irrelevant interaction type absent content present in the interaction template;
• and
• identifying, using the language processing model, a phrase corresponding to a beginning of the relevant interaction represented in the interaction transcript corresponding with the relevant interaction and a phrase corresponding to an ending of the relevant interaction represented in the interaction transcript corresponding with the relevant interaction, wherein at least one of the identified phrases is a variation of a phrase in the interaction template;
• and
• for each relevant interaction detected in the transcript:
• processing the interaction transcript to identify at least two timestamps specifying the beginning and the ending of the relevant interaction and one or more keywords associated with the first interaction type;
• and
• presenting for evaluation, on a display of a second user device, data pertaining to each detected relevant interaction.

One or more non-transitory computer readable media storing instructions that are executable by a processing device, and upon such execution cause the processing device to perform operations comprising:

• receiving an audio stream from a first user device that represents a user of the user device serially conversing with a sequence of individuals;
• processing the audio stream to produce a transcript of the audio stream;
• for the user and a first individual included in the sequence of individuals:
• detecting a relevant interaction having a first interaction type and being present in an interaction transcript of the transcript, wherein detecting the relevant interaction present in the transcript comprises:
• processing, using a language processing model, the transcript and an interaction detection prompt comprising an instruction to detect a relevant interaction in accordance with an interaction template for the first interaction type to identify the interaction transcript corresponding with the relevant interaction, wherein processing comprises:
• excluding, using the language processing model, any interaction between the user and the first individual having an irrelevant interaction type absent content present in the interaction template;
• and
• identifying, using the language processing model, a phrase corresponding to a beginning of the relevant interaction represented in the interaction transcript corresponding with the relevant interaction and a phrase corresponding to an ending of the relevant interaction represented in the interaction transcript corresponding with the relevant interaction, wherein at least one of the identified phrases is a variation of a phrase in the interaction template;
• and
• for each relevant interaction detected in the transcript:
• processing the interaction transcript to identify at least two timestamps specifying the beginning and the ending of the relevant interaction and one or more keywords associated with the first interaction type;
• and
• presenting for evaluation, on a display of a second user device, data pertaining to each detected relevant interaction.