GrillKit – self-hosted AI technical interview trainer with voice
GrillKit is an open-source AI technical interview trainer that allows users to configure an OpenAI-compatible model for practice. It features real-time scoring, optional voice input, and question audio, making it versatile for various programming languages and skill levels. The platform supports Docker for easy setup and offers a range of features including question banks and a dashboard for tracking interview history.
- ▪GrillKit allows users to practice technical interviews using an OpenAI-compatible model and YAML question banks.
- ▪The platform includes features such as real-time scoring, voice input, and multi-language support.
- ▪Users can set up interviews with customizable options including topics, languages, and time limits.
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GrillKit Open-source AI technical interview trainer. Configure an OpenAI-compatible model, practice from YAML question banks, and get real-time scoring with optional voice input and question audio. Quick start · Changelog · Architecture Screenshots & demo Demo video — full flow from setup to scored feedback Dashboard — recent sessions and quick start Interview setup — languages, levels, topics, and session options Interview session — real-time Q&A with AI scoring and final evaluation Features Interviews — multi-language setup, several topics per session, WebSocket Q&A, AI scoring 1–5, up to 2 follow-ups per question Timer — optional per-round time limit; expired rounds score 0 and the session moves on Voice — offline Whisper dictation for answers; optional Piper TTS to read questions…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.