shaheen-jarvis 0.3.2

A powerful, voice-enabled AI assistant framework with comprehensive speech recognition, natural language processing, and extensive API integrations.

🤖 Shaheen-Jarvis Framework

🚀 Overview

Shaheen-Jarvis is a powerful, modular, voice-enabled AI assistant framework built in Python. It combines traditional programmatic functions with modern AI capabilities, featuring comprehensive speech recognition, natural language processing, and extensive API integrations.

✨ Key Features

• 🎤 Advanced Speech Recognition - Full voice command support with Google Speech Recognition
• 🧠 AI-Powered Responses - Intelligent conversations and code generation
• 🌐 Web Integration - Weather, news, Wikipedia, and web search capabilities
• 🎵 Multimedia Control - YouTube music playback and app launching
• 📝 Productivity Tools - Notes, tasks, calculations, and system monitoring
• 🔧 Extensible Plugin System - Easy to extend with custom functionality
• 🎨 Rich CLI Interface - Beautiful colored output and interactive commands

📦 Installation

Quick Install from PyPI

pip install shaheen-jarvis

🚀 Quick Start

🎤 Voice-Controlled Usage (Recommended)

from jarvis import Shaheen_Jarvis

# Initialize with voice enabled
jarvis = Shaheen_Jarvis(enable_voice=True)

# Start interactive voice session
while True:
    command = jarvis.listen()  # Listen for voice input
    if command:
        response = jarvis.dispatch(command)  # Process command
        print(f"Jarvis: {response}")
        jarvis.speak(response)  # Speak the response

💻 CLI Usage

# Basic commands
jarvis time
jarvis weather "New York"
jarvis joke

# Interactive mode
jarvis --interactive

# Voice mode
jarvis --voice

🐍 Python Script Usage

from jarvis import Shaheen_Jarvis

# Initialize Jarvis
jarvis = Shaheen_Jarvis()

# Basic functions
print(jarvis.call("tell_time"))
print(jarvis.call("tell_joke"))
print(jarvis.call("get_weather", "London"))

# AI-powered functions
print(jarvis.call("ask_ai", "What is quantum computing?"))
print(jarvis.call("generate_code", "Python function to sort a list"))

# Natural language dispatch
response = jarvis.dispatch("What's the weather like today?")
print(response)

🎤 Voice Commands

Shaheen-Jarvis supports comprehensive voice recognition. Here are example commands you can speak:

⏰ Time & Date

• "What time is it?"
• "What's the date today?"
• "Tell me the current time"

🌦️ Weather

• "What's the weather?"
• "Weather in London"
• "Tell me the weather in Paris"

🎵 Entertainment

• "Tell me a joke"
• "Play Adele songs on YouTube"
• "Open WhatsApp"
• "Random quote"

🔍 Search & Information

• "Wikipedia artificial intelligence"
• "Search web for latest technology"
• "What is quantum computing?"
• "Tell me about machine learning"

🧮 Mathematics

• "Calculate 25 plus 17"
• "What is 100 divided by 4?"
• "Compute 15 times 8"

📝 Productivity

• "Note buy groceries tomorrow"
• "Remember to call mom"
• "Show my tasks"
• "Create todo finish project"

🔧 System & Tools

• "Generate a password"
• "Get system info"
• "Get my IP address"
• "System information"

🤖 AI Features

• "Ask AI about Python programming"
• "Generate code for a sorting algorithm"
• "Explain neural networks"
• "What is blockchain?"

Features

• Core Engine: Function registration, alias support, and dynamic dispatch
• Predefined Functions: Time, date, jokes, email sending, weather updates, etc.
• Plugin Support: Load plugins from local paths
• Voice I/O: Speech recognition and text-to-speech capabilities
• Intuitive CLI: Interactive mode, history, and color output
• AI Integration: OpenRouter API for AI-driven capabilities
• Web Functions: Weather, news, translation, and web search with fallbacks
• System Utilities: System info, CPU usage, RAM status, network information
• Productivity Tools: Notes, to-do lists, alarms, email functions with voice

⚙️ Configuration

Configuration is managed through a YAML file (jarvis_config.yaml) and environment variables. Here's a sample:

debug: false
api_keys:
  news_api_key: ${NEWS_API_KEY}
  openai_api_key: ${OPENAI_API_KEY}
  weather_api_key: ${WEATHER_API_KEY}
voice:
  enable_voice: true
  stt_backend: whisper
  tts_backend: pyttsx3
logging:
  level: 'INFO'
  log_to_file: true

Make sure to set all environment variables correctly. See .env.sample for reference.

🎯 Examples

Comprehensive Interactive Test

To test every feature through voice commands:

python interactive_voice_test.py

Advanced Use

For voice-controlled commands and more complex AI interactions:

python example_advanced.py
python example_voice.py

🤝 Contribution

Please check the GitHub repository for contributions and feature requests. Feel free to open issues or pull requests!

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© 2025 Shaheen-Jarvis

Licensed under the MIT License.

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