Wisp is a local-first, real-time meeting transcription desktop application built with Rust and SvelteKit, using Tauri v2 for cross-platform deployment (macOS Apple Silicon, Windows x64). It captures microphone and system audio, runs on-device automatic speech recognition (ASR) using multiple engines (whisper.cpp, sherpa-onnx, Apple Speech), provides live speaker-diarized transcripts with timestamps, and supports offline semantic search via local ONNX embedding models. The architecture is modular, with pluggable traits for audio sources, ASR engines, denoisers, echo cancellers, and model stores. It also offers optional cloud transcription (OpenAI, Gemini, Groq, etc.) and AI assist features. Although primarily an application, it integrates significant data engineering patterns for streaming audio processing, feature extraction (VAD, diarization), and on-device model management.