Image & Vision · GitHub ·44 ★

live-interview

Chatbot with a 3D avatar that can answer interview questions in your behalf. It can speak and understand English, German and Albanian. Based on the GPT 4 model and Azure Speech to Text and Text to Speech, it is able to make realistic conversations about a job interview and save conversations.

Details

Author
0Shark
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
javascript
Stars
44
First indexed
2026-05-15
Last active
2025-11-16
Directory sync
2026-05-15

Overview

Chatbot with a 3D avatar that can answer interview questions in your behalf. It can speak and understand English, German and Albanian. Based on the GPT 4 model and Azure Speech to Text and Text to Speech, it is able to make realistic conversations about a job interview and save conversations.

Quick start

git

git clone https://github.com/0Shark/live-interview

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

What live-interview can do

  • Speech — Converts between speech and text.
  • Tts — tts task automation.
  • Avatar — avatar task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is live-interview?
Chatbot with a 3D avatar that can answer interview questions in your behalf. It can speak and understand English, German and Albanian. Based on the GPT 4 model and Azure Speech to Text and Text to Speech, it is able to make realistic conversations about a job interview and save conversations.
How do I install live-interview?
Use git: `git clone https://github.com/0Shark/live-interview`. Full setup details on the source page linked above.
Is live-interview open source?
live-interview is published on GitHub.
What are alternatives to live-interview?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for live-interview is sourced from GitHub, published by 0Shark.

Last scraped: · First indexed:

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