Audio & Voice · GitHub ·88 ★

realtime-interview-copilot

Realtime Interview Copilot is a web application that assists users in crafting responses during interviews. It leverages real-time audio transcription and AI-powered response generation to provide relevant and concise answers.

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Details

Author
innovatorved
Category
Audio & Voice
Platform
GitHub
Framework
custom
Language
typescript
Stars
88
First indexed
2026-05-15
Last active
2026-04-12
Directory sync
2026-05-15
@innovatorved

Overview

Realtime Interview Copilot is a web application that assists users in crafting responses during interviews. It leverages real-time audio transcription and AI-powered response generation to provide relevant and concise answers.

Quick start

git

git clone https://github.com/innovatorved/realtime-interview-copilot

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What realtime-interview-copilot can do

audioragtranscrispeechllm
  • Audio — Transcribes, generates, or transforms audio.
  • Rag — Retrieves grounded context before answering.
  • Transcri — transcri task automation.
  • Speech — Converts between speech and text.
  • Llm — llm task automation.

Frequently asked questions

What is realtime-interview-copilot?
Realtime Interview Copilot is a web application that assists users in crafting responses during interviews. It leverages real-time audio transcription and AI-powered response generation to provide relevant and concise answers.
How do I install realtime-interview-copilot?
Use git: `git clone https://github.com/innovatorved/realtime-interview-copilot`. Full setup details on the source page linked above.
Is realtime-interview-copilot open source?
realtime-interview-copilot is published on GitHub.
What are alternatives to realtime-interview-copilot?
Comparable agents include ChatTTS, rasa, CosyVoice. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for realtime-interview-copilot is sourced from GitHub, published by innovatorved.

Last scraped: · First indexed:

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