This project is a suite of tools centered around an AI-powered interview assistant, a professional resume builder, and an engineering salary database. The core application provides real-time audio transcription and generates code and system design solutions during technical interviews. The software is designed for stealth and detection avoidance. It utilizes an invisible screen overlay that bypasses screen-capture and screen-sharing software, allowing the user to view information without it appearing on shared displays. To further avoid detection, the system implements keyboard-only operation
This project is an AI meeting assistant and interview copilot that monitors system audio and screen content to generate real-time responses during video calls. It functions as a system audio transcription tool and a context-aware prompt manager, injecting user documents and behavioral profiles into large language model prompts to tailor AI outputs. The system features a stealth screen overlay, utilizing a transparent window that displays information on top of other applications while remaining invisible to screen-sharing software and proctoring tools. It employs a process-hiding mechanism to
PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams into written text without requiring a network connection. It functions as a speech-to-text library, a real-time transcription engine, and a voice command processor, capable of detecting and transcribing spoken commands from continuous audio streams with configurable acoustic and language models. The engine uses weighted finite-state transducers to represent acoustic, phonetic, and language models as a single search graph for efficient decoding. It employs fixed-point acoustic mod
Vibe is a cross-platform transcription tool that converts spoken audio into text by running Whisper neural models directly on your device, with no cloud dependency. It can transcribe audio from files, microphones, system output, and network streams, and supports both batch processing of multiple files and real-time captioning from continuous input. Beyond basic transcription, Vibe identifies and labels different speakers through speaker diarization, and offers a choice of Command-Line Interface or HTTP API for automated and remote workflows. It also includes plugins to export transcripts to c
Cheetah is an LLM technical interview assistant composed of a native macOS application and a browser extension. It provides real-time coding and answering suggestions during technical interviews by combining live audio transcription with web-based context extraction.
Die Hauptfunktionen von leetcode-mafia/cheetah sind: Real-Time Interview Copilots, Interview Answer Assistants, Real-Time Transcription, Interview Response Generators, Local Speech-to-Text, Real-Time Audio Transcribers, Real-Time Speech Transcription, Response Synthesis Engines.
Open-Source-Alternativen zu leetcode-mafia/cheetah sind unter anderem: ibttf/interview-coder — This project is a suite of tools centered around an AI-powered interview assistant, a professional resume builder, and… sohzm/cheating-daddy — This project is an AI meeting assistant and interview copilot that monitors system audio and screen content to… cmusphinx/pocketsphinx — PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams… thewh1teagle/vibe — Vibe is a cross-platform transcription tool that converts spoken audio into text by running Whisper neural models… alphacep/vosk-api — Vosk is an offline speech-to-text engine and API that converts spoken audio into text locally on a device. It provides… sevask/ecoute — Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and…