Vasu - Voice-Activated AI Assistant

A Python-based voice-activated AI assistant inspired by JARVIS. Vasu can open websites, play music, and fetch news headlines using simple voice commands.

Features

• 🎤 Voice Recognition: Responds to the wake word "activate"
• 🌐 Website Navigation: Opens popular websites with voice commands
• 🎵 Music Player: Plays songs from your custom music library
• 📰 News Updates: Fetches latest news headlines
• 🔊 Text-to-Speech: Provides voice feedback for all actions

Supported Commands

Website Navigation

• "Open Google"
• "Open YouTube"
• "Open Gmail"
• "Open Stack Overflow"
• "Open GitHub"
• "Open LinkedIn"
• "Open Facebook"
• "Open Instagram"
• "Open WhatsApp"
• "Open Amazon"
• "Open Flipkart"
• "Open Reddit"
• "Open Wikipedia"

Media & Information

• "Play [song name]" - Plays songs from your music library
• "News" - Opens latest news headlines

Prerequisites

• Python 3.7 or higher
• Working microphone
• Internet connection
• Speaker/audio output device

Installation

1. Clone the repository

   git clone https://github.com/yourusername/vasu-voice-assistant.git
   cd vasu-voice-assistant

2. Install required dependencies

   pip install -r requirements.txt

   Or install manually:

   pip install speechrecognition
   pip install pyttsx3
   pip install pyaudio
   pip install requests

   Note for PyAudio installation issues:

   • Windows: Download the appropriate .whl file from here and install using pip install filename.whl
   • Linux: sudo apt-get install portaudio19-dev python3-pyaudio
   • macOS: brew install portaudio then pip install pyaudio

3. Set up your music library

   • Edit musiclibrary.py to add your favorite songs
   • Add song names and YouTube URLs in the dictionary format

Usage

1. Run the assistant

   python main.py

2. Activate the assistant

   • Wait for "Listening...." to appear
   • Say "activate" to wake up the assistant
   • After hearing "Activated", give your command
   • Example: Say "Open YouTube" or "Play judas"

3. Stop the assistant

   • Press Ctrl + C in the terminal

File Structure

vasu-voice-assistant/
│
├── main.py              # Main application file
├── musiclibrary.py      # Music library with song links
├── requirements.txt     # Project dependencies
└── README.md           # Project documentation

Customization

Adding More Songs

Edit musiclibrary.py and add songs in this format:

music = {
    "song_name": "youtube_url",
    "another_song": "youtube_url"
}

Adding Custom Commands

In main.py, add new conditions in the processCommand() function:

elif "your command" in c.lower():
    speak("Your response")
    # Your action here

Changing the Wake Word

Modify line 59 in main.py:

if (word.lower() == "your_wake_word"):

Troubleshooting

Microphone Not Detected

• Check microphone permissions in your system settings
• Ensure your microphone is set as the default recording device
• Test microphone with other applications

Recognition Issues

• Speak clearly and at a moderate pace
• Reduce background noise
• Adjust the timeout and phrase_time_limit values in main.py

No Audio Output

• Check speaker/headphone connections
• Verify system volume settings
• Test pyttsx3 separately: python -c "import pyttsx3; engine = pyttsx3.init(); engine.say('test'); engine.runAndWait()"

Requirements.txt

Create a requirements.txt file with:

SpeechRecognition==3.10.0
pyttsx3==2.90
PyAudio==0.2.13
requests==2.31.0

Future Enhancements

• Integration with OpenAI API for conversational AI
• Weather information lookup
• Calendar and reminder features
• Email sending capability
• System control (volume, brightness, etc.)
• Multi-language support

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Inspired by JARVIS from Iron Man
• Built with Python's speech recognition and text-to-speech libraries
• Thanks to the open-source community

Contact

Your Name - ARYAN GUPTA

Website Link: https://maybe-aryan.netlify.app/

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