Cheating Daddy is a free, open-source AI assistant designed to provide users with a competitive edge during professional interactions like interviews, presentations, and meetings. It leverages screen capture and audio analysis to offer real-time, contextual assistance, aiming to improve performance and outcomes for professionals.

How It Works

The application utilizes Google Gemini 2.0 Flash for its AI capabilities, analyzing live screen content and audio input to generate relevant responses. It operates via a transparent, always-on-top overlay window that can be configured for click-through functionality, allowing users to receive assistance without disrupting their workflow. Multiple profiles cater to different professional scenarios, enhancing the contextual relevance of the AI's support.

Quick Start & Requirements

• Install/Run: Clone the repository and run npm install followed by npm start.
• Prerequisites: Gemini API key (from Google AI Studio), Electron-compatible OS (macOS, Windows recommended; Linux is experimental), screen recording permissions, microphone/audio permissions.
• Setup: Requires obtaining an API key and installing Node.js dependencies.

Highlighted Details

• Real-time AI assistance powered by Google Gemini 2.0 Flash.
• Live screen and audio capture for contextual analysis.
• Transparent, always-on-top overlay with click-through mode.
• Supports multiple profiles for different professional scenarios.

Maintenance & Community

The project is maintained by sohzm. Further community or roadmap information is not detailed in the README.

Licensing & Compatibility

The project is released under a free and open-source license. Specific license details are not provided in the README, but it is generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The project explicitly states limited support for older macOS and Windows versions, recommending the latest releases. Linux support is experimental and not recommended for production use. The AI requires simulated interviewer questions to provide responses during testing.