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AI pipeline analyzes interviews in real-time using Grok and Deepgram

By PulseAugur Editorial · [1 sources] ·

This article details the architecture of TrueVoice HQ, an AI platform designed for real-time interview analysis. The system processes audio and video streams using LiveKit and Deepgram for transcription, with Supabase Edge Functions leveraging Grok to analyze transcript chunks as they are generated. This chunk-based approach allows interviewers to receive live scoring updates every 30-60 seconds, providing immediate feedback on speech patterns, timing, flow, and linguistic style, rather than waiting for a post-interview report. The pipeline also includes logic to handle and extract structured JSON output from LLMs, even when they include extraneous text or markdown formatting. AI

IMPACT Enables real-time feedback for interviewers, potentially improving candidate assessment and interviewer efficiency.

RANK_REASON Article describes a specific application and architecture for an AI tool, not a frontier release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI pipeline analyzes interviews in real-time using Grok and Deepgram

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Article describes a specific application and architecture for an AI tool, not a frontier release or significant industry event.
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53 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · patrickboxfordpartners ·

    Building a Real-Time AI Interview Analysis Pipeline with LiveKit, Deepgram, and Grok

    <p>Most AI apps process data after the fact. You upload a file, wait, get a result. This post is about doing it the other way: scoring a live video interview as the candidate speaks, chunk by chunk, so the interviewer sees signals in real time rather than a report 20 minutes late…

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