Suki Ai, Inc.

Siddharth Sharma

Belwadi Srikanth

Feroz Ahmad

Gaurav Trivedi

Erin Ann Palm

Prasanth Kolachina

Khaled Hafez

Jagruti Joshi

Systems and methods to generate notes based on contextual content are disclosed. Exemplary implementations may: obtain audio information that represents sounds captured by a client computing platform, wherein the sounds convey utterances by participants during a conversation session, wherein the participants include at least the first caregiver and the first subject in the first setting; generate a prompt that requests generation of textualized content blocks for inclusion in one or more sections of a note; provide the audio information, first caregiver contextual content for the first caregiver, first subject contextual content for the first subject, and first setting contextual content for the first setting to a context window of a large language model; provide the prompt to the large language model; receive, from the large language model, the textualized content blocks; and populate the textualized content blocks in the note.

Systems and methods to generate notes based on contextual content in multiple modes

Systems and methods to analyze and identify adaptations to document based on an audience of the document to improve a document quality are disclosed. Exemplary implementations may: analyze individual documents to determine its active lexicon from lexicons stored in electronic storage that the individual documents are comprised of; store the documents in correlation with the determined active lexicons in the electronic storage; generate, based on the lexicons and the correlations, audience scores for individual ones of the documents; store the audience scores in the electronic storage; receive a request to obtain a document; and effectuate presentation of the document and the audiences scores corresponding to the document.

Systems and methods to analyze and identify adaptations to document based on an audience of the document to improve a document quality

Systems and methods to generate responses to queries conveyed by audio information are disclosed. Exemplary implementations may: obtain audio information that represents sounds captured by a client computing platform; generate, by performing speech recognition on the audio information, a transcript representing the utterances; generate engine instructions for a response engine, wherein the response engine is configured to obtain output from one or more resources to determine a final response to the query, wherein the engine instructions include at least part of the transcript and distinguishing descriptions for individual ones of the resources, wherein the distinguishing descriptions for the individual resources include specifications of types of information output by the individual resources; initiate transmission of the engine instructions to the response engine; receive, from the response engine, the final response determined by the response engine for the engine instructions; and effectuate presentation of the final response via the client computing platform.

Systems and methods to generate responses to queries conveyed by audio information

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Gurugram, India

Siddharth Sharma