Cheetah is an AI-powered macOS app designed to assist users with software engineering interview practice. It provides real-time coaching and live coding platform integration.

Cheetah leverages Whisper for real-time audio transcription, and GPT-4 for generating hints and solutions. You need to have your own OpenAI API key to use the app.

Whisper runs locally on your system, utilizing Georgi Gerganov's whisper.cpp. A recent Mac with Apple silicon is required for optimal performance.

Requires macOS 13.1 or later.

To build Cheetah, whisper.cpp must be checked out in ../whisper.cpp, and the SDL2 library must be installed:

brew install sdl2

For the best results, ensure the audio input captures both sides of the conversation.

When using a video chat app like Zoom or Google Meet, you can achieve this with BlackHole, a free audio loopback driver. Follow the instructions for setting up a Multi-Output Device, and remember not to use the loopback device as input for the video chat app.

Open the app and select an audio input to start live transcription. A snippet of the transcription will be displayed under the audio input selector.

Note: running the app in debug mode will result in very slow audio transcription performance.

The UI features three buttons:

Answer: Generates an answer for the interviewer's question.

Refine: Updates the existing answer, useful for when the interviewer provides additional constraints or clarification.

Analyze: Analyzes code and logs from the live coding environment in your web browser. Requires the browser extension.

You can also select (highlight) a portion of a generated answer and click Refine to get more detail.

Currently, only Firefox is supported. Follow these steps to install the extension:

1. Add the domain of the live coding platform to matches in ./extension/manifest.json
2. Go to about:debugging
3. Click "This Firefox"
4. Click "Load Temporary Add-on"
5. Select ./extension/manifest.json

Cheetah is intended for use in mock interviews only. It may generate incorrect or inappropriate solutions. Users take full responsibility for the information provided by the app.