RAVE: A Modern Voice-Enabled Desktop Assistant

RAVE is a sophisticated, voice-activated desktop assistant engineered with .NET 8 and WPF. It empowers you to seamlessly launch applications, open files, browse the web, and execute system-level commands using natural language. All interactions are handled through a polished and modern user interface.

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🚀 Key Features

• Modern UI: A sleek and intuitive interface built with MahApps.Metro.
• Advanced Voice Commands:
  • Whisper API for highly accurate speech-to-text.
  • Groq API for intelligent command synthesis using a cutting-edge LLM.
  • RNNoise CNN for real-time noise suppression, ensuring clarity.
  • NAudio for robust audio capture and processing.
• Secure Interaction: Features speaker verification and wake word detection to ensure commands are executed only by authorized users.
• Comprehensive File and Application Management:
  • Launch applications, search for documents, and open websites with simple voice commands.
• Automated File Tracking:
  • Utilizes FileSystemWatcher for real-time monitoring of your file system.
  • Supports popular file extensions including .exe, .pdf, .docx, .pptx, and .txt.
• Command History Module:
  • Maintains a detailed log of all executed commands with timestamps and their success or failure status.
• System Tray Integration: Operates discreetly in the background for minimal intrusion along with FloatingIcon.
• Context-Aware Interactions: Leverages integrated prompt engineering for more intuitive and relevant responses.

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🛠️ Engineered Capabilities

RAVE is designed for intelligent, secure, and responsive user interaction.

• Natural Language Control: Translates spoken language into actionable commands via the Whisper and Groq APIs.
• Crystal-Clear Audio: Employs RNNoise (ONNX) for real-time audio cleanup and voice amplification to enhance transcription accuracy.
• Robust Authentication: An integrated security layer that processes commands only from verified speakers.
• Efficient File Indexing: Maintains an up-to-date index of file metadata for swift and accurate access.

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💻 Tech Stack

• Languages & Frameworks: C#, .NET 8, WPF, Python (for supporting scripts)
• Libraries & APIs:
  • MahApps.Metro
  • EntityFrameworkCore.Sqlite
  • Whisper API
  • Groq LLM API
  • RNNoise (ONNX)
  • NAudio
  • Microsoft.ML
  • Newtonsoft.Json
  • NWaves
  • FontAwesome.Sharp
  • OleDB

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📂 Project Structure

    WpfApp2/
    ├── Models/             # Entity and data models
    ├── Context/            # EF Core DbContext
    ├── Assets/             # Icons and other resources
    ├── model/              # ONNX models for machine learning features
    ├── Views/              # WPF views and UI components
    └── AppSetting.json     # Configuration for API keys and prompts

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🏁 Getting Started

• To install the app run the following command in powershell

  winget install Scripter2104.Rave

Prerequisites

• .NET 8 SDK
• Visual Studio 2022 or later (with the Desktop development with WPF workload installed)

Setup Instructions

1. Clone the Repository

   git clone https://github.com/See-Sharpp/RAVE.git
   cd WpfApp2

2. Restore NuGet Packages

   • Open the solution in Visual Studio.
   • Build the project (Ctrl+Shift+B) to automatically restore all necessary dependencies.

3. Configure API Keys

   • Open the AppSetting.json file and add your API keys and custom prompts:

     {
       "Groq_Api_Key": "your-groq-api-key-here",
       "Groq_Prompt_Api_Key1": "your-groq-api-key1(for prompt1)-here",
       "Groq_Prompt_Api_Key2": "your-groq-api-key1(for prompt2)-here"
     }

4. Run the Application

   • From Visual Studio: Press F5 to start debugging.
   • Via CLI:

     dotnet run --project WpfApp2

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Usage

Voice Commands

• Launch the application and use the microphone icon or a designated hotkey to activate voice commands.
• Speak naturally, for example:
  • "Open Chrome"
  • "Search for AI research papers on Google"
  • "Open Spotify"
  • "Open Resume.pdf"
  • *"Shutdown the PC"
  • "Reduce Brightness by 10%"

File Scanning

• RAVE performs an automatic scan on its first launch and subsequently on a daily basis or as set by the user to keep its index current.
• It indexes .exe, .pdf, .docx, .pptx, and .txt files to facilitate faster access through voice commands.
• It also uses FileWatcher to keep a track of files or application being modified, added or removed while the app is running.

Command History

• The command history is accessible from the main dashboard and history section.
• You can review all previous commands, their outcomes, and the timestamps of when they were executed.

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🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

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