mbm 0.1.0

MBM - A modular CLI platform with Aaryan language support and AI assistant

MBM - Modular CLI Platform

MBM is a powerful, modular command-line interface platform featuring the Aaryan programming language, an intelligent AI assistant, and a student birthday countdown system. Built for education, productivity, and extensibility.

🚀 Installation

Step 1: Install Python (if not already installed)

Download from python.org and check "Add Python to PATH" during installation.

Step 2: Install MBM

pip install mbm

That's it! Now you can use mbm from any terminal.

Verify Installation

mbm --version

If mbm is not recognized, use this alternative (always works):

python -m mbm.cli.main --version

Troubleshooting PATH Issues

Windows - If 'mbm' is not recognized

# Find where mbm is installed
python -c "import sys, os; print(os.path.join(os.path.dirname(sys.executable), 'Scripts'))"

# Add that path to your system PATH, or use:
python -m mbm.cli.main

macOS/Linux - If 'mbm' is not recognized

# Find where mbm is installed
python3 -c "import sys, os; print(os.path.join(os.path.dirname(sys.executable), 'bin'))"

# Add to PATH in ~/.bashrc or ~/.zshrc:
export PATH="$PATH:$(python3 -m site --user-base)/bin"

📖 Quick Start

Basic Commands

# Show MBM banner and help
mbm

# Access Aaryan language
mbm aaryan

# Run an Aaryan program
mbm aaryan run program.ar

# Start AI assistant
mbm ai

# View student birthday countdown (433 students!)
mbm kanishka_singhal
mbm vidhi_dave
mbm students --upcoming

# View animations demo
mbm animate --all

# List all students
mbm students
mbm students -b CSE    # Filter by branch

# Shutdown PC (use with caution!)
mbm blast

🎯 Features

🖥️ CLI Platform

• Clean, intuitive command-line interface
• Rich terminal output with colors and formatting
• Cross-platform support (Windows, macOS, Linux)
• Works in any shell (PowerShell, CMD, Bash, Zsh, Fish)

🎂 Student Birthday Countdown

• 433 unique student commands (mbm <student_name>)
• Real-time countdown (days, hours, minutes, seconds)
• Animated celebrations for birthdays
• Branch-wise filtering and search

🔤 Aaryan Language

• Custom programming language embedded in MBM
• Simple syntax for educational purposes
• File extension: .ar

🤖 AI Assistant

• Local-first: Uses spaCy for NLP (no cloud LLMs)
• Intent Detection: Understands what you're asking
• Entity Extraction: Identifies key terms and subjects
• Query Cleanup: Processes messy natural language

🎬 ASCII Animations

• Falling confetti with physics
• Fireworks explosions
• Birthday cakes with flickering candles
• Countdown flip animations

🖼️ Media Handling

• Fetches images from legal sources only (Wikimedia Commons)
• Opens media using system's native viewer
• Temporary files auto-cleaned

📚 Information Retrieval

• Wikipedia API for factual information
• Clean, concise text output
• Privacy-respecting design

🏗️ Architecture

MBM (Platform CLI)
├── aaryan (Language Module)
├── ai (AI Assistant)
├── people (Special Profiles)
│   ├── students
│   └── faculty
└── utils (Cross-platform Utilities)

🔒 Privacy & Ethics

• No web scraping: Only legal, public APIs
• No Google Images: Wikimedia Commons only
• No cloud LLMs: Local NLP processing
• No tracking: Your data stays local
• No permanent storage: Temp files only

🛠️ Development

# Clone repository
git clone https://github.com/mbm/mbm-cli.git
cd mbm-cli

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

# Install in development mode
pip install -e ".[dev]"

# Download spaCy model
python -m spacy download en_core_web_sm

# Run tests
pytest

📜 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

• MBM University, Jodhpur
• All contributors and supporters

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Made with ❤️ by the MBM Team