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ibttf avatar

ibttf/interview-coder

0
View on GitHub↗
www.interviewcoder.co↗

Interview Coder

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 to eliminate visible mouse movements and employs process name masking to hide the application from system task managers and activity monitors.

Additional capabilities include a library of solved coding problems organized by algorithm and data structure, as well as career intelligence tools for benchmarking compensation and comparing job offers against market data.

User access is managed through account registration and identity authentication via email or third-party providers.

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Features

  • Real-Time Interview Copilots - Functions as an AI assistant that analyzes live audio to provide real-time code and system design solutions during interviews.
  • AI-Powered Code Generation - Uses large language models to generate algorithmic solutions and system design responses based on live transcription.
  • Real-Time Transcription - Provides instantaneous conversion of live interview audio into text transcripts for real-time AI analysis.
  • Real-Time Audio Transcribers - Converts live interview audio into text in real time to facilitate AI-driven assistance.
  • Keyboard-Driven Interfaces - Eliminates visible mouse movements by executing all application functions via keyboard shortcuts.
  • Stealth Interface Shortcuts - Implements all application functions via shortcuts to eliminate visible mouse movements during live sessions.
  • Salary Benchmarking Databases - Includes a database for benchmarking engineering compensation and comparing job offers against market data.
  • Audio Processing - Implements audio processing to capture and analyze spoken conversation from live interview sessions.
  • Invisible Overlays - Implements a transparent desktop layer that remains invisible during screen shares and recordings.
  • Interview Answer Assistants - Integrates with video conferencing and assessment tools to provide real-time answer suggestions to the interviewee.
  • Screen Share Evasion - Integrates click-through overlays and keyboard-only controls to remain invisible during screen shares.
  • Screen Capture Protections - Uses native windowing flags to prevent the AI assistant interface from appearing in screen shares or recordings.
  • System Process Hiding - Conceals the application's presence from system task managers and activity monitors to avoid detection.
  • Screen-Sharing Concealment - Prevents the application window from appearing in screen-capture or sharing software used during interviews.
  • Click-Through Controls - Renders a transparent overlay that allows mouse events to pass through to the underlying interview platforms.
  • Interview Pattern Solutions - Offers a library of solved coding problems based on industry-standard interview patterns.
  • Market Research Strategies - Provides market research strategies to gather salary data for informing employment negotiations.
  • Professional Resume Generators - Automates the creation of professional software engineering resumes by organizing experience, projects, and skills.
  • Resume Builders - Ships a dedicated platform for creating and managing professional engineering resumes.
  • Interview-Focused Problem Sets - Provides curated collections of algorithm and data structure problems specifically for technical interview prep.
  • Offer Evaluation Frameworks - Provides a framework for analyzing multiple job offers side-by-side against industry market data.
4,438 stars·712 forks·57 views

Star history

Star history chart for ibttf/interview-coderStar history chart for ibttf/interview-coder

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does ibttf/interview-coder do?

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.

What are the main features of ibttf/interview-coder?

The main features of ibttf/interview-coder are: Real-Time Interview Copilots, AI-Powered Code Generation, Real-Time Transcription, Real-Time Audio Transcribers, Keyboard-Driven Interfaces, Stealth Interface Shortcuts, Salary Benchmarking Databases, Audio Processing.

Which projects share features with ibttf/interview-coder?

Projects with overlapping indexed features include: sohzm/cheating-daddy — This project is an AI meeting assistant and interview copilot that monitors system audio and screen content to… leetcode-mafia/cheetah — Cheetah is an LLM technical interview assistant composed of a native macOS application and a browser extension. It… volatiletech/authboss — Authboss is a modular authentication framework designed to manage user identity and account orchestration. It provides… thewh1teagle/vibe — Vibe is a cross-platform transcription tool that converts spoken audio into text by running Whisper neural models… cmusphinx/pocketsphinx — PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams… argmaxinc/whisperkit.

Projects sharing features with Interview Coder

These projects share indexed features with Interview Coder. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • sohzm/cheating-daddysohzm avatar

    sohzm/cheating-daddy

    5,387View on GitHub↗

    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

    JavaScript
    View on GitHub↗5,387
  • leetcode-mafia/cheetahleetcode-mafia avatar

    leetcode-mafia/cheetah

    4,262View on GitHub↗

    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. The system functions as a real-time interview coach that converts spoken questions into text using on-device speech-to-text processing. It uses a browser-integrated DOM scraper to extract live code and console logs, allowing the AI to analyze the current coding state and generate technical solutions based on the specific environm

    Swift
    View on GitHub↗4,262
  • volatiletech/authbossvolatiletech avatar

    volatiletech/authboss

    4,189View on GitHub↗

    Authboss is a modular authentication framework designed to manage user identity and account orchestration. It provides a comprehensive system for handling user registration, email verification, and the full lifecycle of user profiles. The framework distinguishes itself through a focused suite of security and identity tools, including multi-factor authentication via time-based passwords and SMS, and identity integration with external providers using OAuth1 and OAuth2 protocols. It also includes a dedicated account security manager that implements brute-force protection through credential-based

    Go
    View on GitHub↗4,189
  • cmusphinx/pocketsphinxcmusphinx avatar

    cmusphinx/pocketsphinx

    4,276View on GitHub↗

    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

    Ccpythonspeech-recognition
    View on GitHub↗4,276
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