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Windows Voice Assistant

Project description

Dikshant - Windows Voice Assistant

Dikshant is a lightweight background voice assistant for Windows that activates on the phrase "hey friend". It can perform system-level tasks like opening applications, shutting down, or executing custom commands — all using natural language.


🔥 Features

  • 🎙️ Wake-word activation with "hey friend"
  • 🖥️ Executes system commands (e.g., open apps, shutdown)
  • 🧠 Understands natural language instructions
  • 🔁 Runs in the background after launch
  • 📦 Easy to install via pip

Supported Commands (v0.1.0)

(All require wake phrase: "Hey friend")

  1. Application Control "Hey friend open notepad"

"Hey friend launch chrome"

"Hey friend start calculator"

  1. Website Navigation "Hey friend open youtube" → Opens YouTube in default browser

"Hey friend visit google" → Opens Google

"Hey friend go to github" → Opens GitHub

  1. Assistant Control "Hey friend take rest" → Stops the assistant

"Hey friend go to sleep" → Alternative stop command


📦 Installation

Install directly from PyPI:

pip install dikshant

🚀 Usage

After installation, launch it from the terminal:

dikshant

Then simply speak commands like:

  • "Hey friend, open notepad"
  • "Hey friend, take rest" (to stop the assistant)

🧑‍💻 Programmatic Usage You can also use Dikshant as a Python module in your own scripts:

from dikshant import Dikshant

assistant = Dikshant()
assistant.start()

🛠 Requirements

Most dependencies will be auto-installed via pip, but core ones may include:

  • speechrecognition
  • pyaudio (may need manual install for Windows)
  • pyttsx3
  • pywin32

💡 If pyaudio fails during install, use:

pip install pipwin
pipwin install pyaudio

📃 License

This project is licensed under the MIT License.


🙋‍♂️ Author

Dikshant Ghimire
Feel free to customize and extend!


💬 Contributions

Pull requests, issues, and suggestions are welcome!
Please ensure you follow best practices and lint your code.


🧪 Coming Soon

  • Cross-platform support (Linux/Mac)
  • GUI interface
  • Integration with AI-based NLU

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