Zoom Assistant is a prototype C++ desktop application built with WinUI 3 and C++/WinRT that explores real-time audio session monitoring and capture on Windows.
The goal of this project is to detect and analyze active audio streams from communication applications (such as conferencing software) and demonstrate how audio buffers can be captured, monitored, and processed in real time using native Windows audio APIs.
This repository represents an early prototype / draft implementation focused primarily on audio pipeline experimentation rather than a finished product.
- Real-time audio capture using Windows audio APIs
- Audio session monitoring
- Basic audio buffer processing
- WinUI 3 desktop application built with C++/WinRT
- Modular audio capture engine structure
- Designed for experimentation with communication audio streams
- Language: C++20
- Framework: WinUI 3
- Windows Runtime: C++/WinRT
- Audio API: Windows WASAPI
- Build System: Visual Studio 2022
The project separates UI logic from the audio engine components.
High-level pipeline:
Application UI (WinUI) ↓ Audio Capture Engine ↓ Audio Buffer Processing ↓ Session Monitoring / Analysis
The audio capture component interacts directly with Windows audio services and processes audio frames in real time.
ZoomAssistant/ ├── MainWindow.xaml # Application UI ├── MainWindow.xaml.cpp # UI logic ├── AudioCapture/ # Audio capture engine │ ├── AudioCaptureEngine.cpp │ ├── AudioCaptureEngine.h │ └── AudioUtilities.cpp ├── ZoomAssistant.cpp # Application entry └── ZoomAssistant.vcxproj # Visual Studio project
This project was created to experiment with:
- Windows audio session detection
- Real-time audio processing pipelines
- Communication application audio monitoring
- Integration of audio processing within modern Windows UI applications
The codebase provides a foundation for building tools that analyze or interact with active audio sessions in real time.
Planned experiments include:
- Improved audio session detection
- Signal analysis and amplitude monitoring
- Integration with speech recognition engines
- Event-driven audio session notifications
- Performance optimizations for real-time processing
This repository is a development prototype intended for research and experimentation with Windows audio APIs. It does not interact with or modify any third-party applications.
Girish Jaisinghani C++ / Windows Systems Developer Specializing in native Windows development and real-time audio processing.