Meeting-Assistant, Local meeting notes assistant and AI analysis in C++ (github.com)

Meeting Assistant has introduced a powerful terminal application designed to enhance the productivity of professionals by converting spoken conversations into structured knowledge. This tool offers real-time local transcription and deep AI analysis, enabling users to generate tailored reports, visual mind maps, and insights relevant to their specific roles—such as developers, project managers, or executives. The application alleviates the burden of manual note-taking, allowing users to focus entirely on discussions, while its offline capabilities ensure privacy by keeping raw audio data local. The technical architecture of Meeting Assistant leverages the whisper.cpp model for speech-to-text processing and can interface with high-performance cloud models or maintain a fully offline workflow. The application generates visual Mermaid.js diagrams to represent topics and decisions, integrates semantic features for refined note-taking, and allows live AI queries during meetings for contextual assistance. The requirement of specific hardware-compatible Whisper models, along with easy setup instructions using CMake and PortAudio for microphone input, emphasizes its adaptability for various users and settings, making it a significant tool for improving meeting efficiency and collaboration in AI/ML environments.