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https://github.com/leetcode-mafia/cheetah

Mac app for crushing remote tech interviews with AI
https://github.com/leetcode-mafia/cheetah

ai chatgpt gpt gpt-4 openai swift swiftui whisper whisper-cpp

Last synced: 7 days ago
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Mac app for crushing remote tech interviews with AI

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README 

        
# Cheetah



Cheetah is an AI-powered macOS app designed to assist users during remote software engineering interviews by providing real-time, discreet coaching and live coding platform integration.



[Quick demo video (1:28)](https://user-images.githubusercontent.com/106342593/229961889-489e2b36-f3e6-453a-9784-f160bc1c4f8d.mp4)



Screenshot



With Cheetah, you can improve your interview performance and increase your chances of landing that $300k SWE job, without spending your weekends cramming leetcode challenges and memorizing algorithms you'll never use.



## How it works



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. If you don't have access to GPT-4, gpt-3.5-turbo may be used as an alternative.



Whisper runs locally on your system, utilizing Georgi Gerganov's [whisper.cpp](https://github.com/ggerganov/whisper.cpp). A recent M1 or M2 Mac is required for optimal performance.



## Getting started



### Prerequisites



Requires macOS 13.1 or later.



To build Cheetah, [whisper.cpp](https://github.com/ggerganov/whisper.cpp) must be checked out in `../whisper.cpp`, and the SDL2 library must be installed:



```shell

brew install sdl2

```



### Audio driver setup



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](https://existential.audio/blackhole/), a free audio loopback driver. Follow the instructions for setting up a [Multi-Output Device](https://github.com/ExistentialAudio/BlackHole/wiki/Multi-Output-Device), and remember not to use the loopback device as input for the video chat app.



### App overview



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.



### Installing the browser extension



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](https://firefox-source-docs.mozilla.org/devtools-user/about_colon_debugging/index.html)

3. Click "This Firefox"

4. Click "Load Temporary Add-on"

5. Select ./extension/manifest.json



## Disclaimer



Cheetah is a satirical art project and is not intended for use in real-world settings. It may generate incorrect or inappropriate solutions. Users should exercise caution and take responsibility for the information provided by the app.