Welcome to the AVA project! 🎉
AVA (Afsah's Virtual Assistant) is a personalized, AI-powered virtual assistant designed to automate various aspects of daily life. Inspired by the concept of JARVIS from Iron Man, AVA aims to serve as a sophisticated digital butler, helping with tasks, managing schedules, and providing an intelligent interface for automating workflows. This project is a step towards creating a robust, AI-driven ecosystem tailored for convenience and efficiency.
- Personalized Task Automation: Automates daily tasks based on personal routines and preferences.
- Voice and Text Command Interface: Communicate with AVA via text or voice commands for hands-free operation.
- Modular Structure: Highly modular, allowing easy expansion with new features and capabilities.
- Integration with APIs: Seamless integration with various APIs for enhanced functionality (e.g., weather updates, calendar management, social media interactions).
- Cross-Platform Support: Designed to work across different operating systems, making it accessible from anywhere.
- Python: Core programming language for backend development.
- Bash and Batch Scripting: Automating system-level tasks on Linux and Windows.
- Docker: Containerization for streamlined deployment and testing.
- Node.js: For creating a responsive and interactive frontend.
- YAML: Configuration management for easy setup and integration.
AVA/
├── .git/ # Git version control folder
├── .github/ # GitHub-related configurations
├── src/ # Main source code for the assistant
│ ├── __init__.py # Makes src a Python package
│ ├── core/ # Core functionality of the assistant
│ │ ├── assistant.py # Main virtual assistant logic
│ │ ├── command_handler.py # Processes user commands
│ │ ├── config.py # Configuration and settings
│ │ ├── logger.py # Logging setup
│ │ ├── scheduler.py # Scheduling and reminders
│ ├── modules/ # Modular functionalities (e.g., tools, integrations)
│ │ ├── audio_processing.py
│ │ ├── text_generation.py
│ │ ├── speech_recognition.py
│ │ ├── system_utils.py # File and system-related utilities
│ ├── interfaces/ # User interface components
│ │ ├── cli.py # Command-line interface
│ │ ├── web_interface.py # Optional web-based UI
├── data/ # Static data files
│ ├── assets/ # Media files, such as icons, sounds
│ ├── language_models/ # Lightweight language models (if any)
│ ├── settings.json # Default settings and user preferences
├── tests/ # Testing suite
│ ├── test_audio.py # Unit tests for audio module
│ ├── test_commands.py # Unit tests for command handling
│ ├── test_text_gen.py # Unit tests for text generation
├── docs/ # Documentation
│ ├── README.md # Overview of the project
│ ├── INSTALLATION.md # Installation instructions
│ ├── USAGE.md # Usage instructions
├── examples/ # Example scripts for demonstration
│ ├── demo.py
├── requirements.txt # Python dependencies
├── LICENSE # License file
└── setup.py # Package setup script for PyPI- src/: Main codebase for AVA, including core logic, modules, and utility functions.
- docs/: Documentation and guides for using AVA.
- tests/: Unit and integration tests to ensure the reliability of features.
To get started with AVA, follow these steps:
-
Clone the Repository
git clone https://github.com/NAME0x0/AVA.git cd AVA -
Install Dependencies
pip install -r requirements.txt
-
Run the Assistant
python src/main.py
- Launch AVA using the command provided above.
- Interact via the command line or a compatible interface (GUI in development).
- Utilize available modules like calendar management, web scraping, or automation tasks.
- Natural Language Processing (NLP) Integration: Enhancing AVA's ability to understand and respond to complex voice and text commands.
- Graphical User Interface (GUI): Adding a sleek and user-friendly interface for better interaction and control.
- Machine Learning Capabilities: Incorporating ML models to improve decision-making and personalize user experiences.
- Social Media Management Module: Automating tasks like posting updates and responding to messages across multiple platforms.
- Smart Home Integration: Extending AVA's capabilities to control IoT devices like smart lights, thermostats, and more.
- Voice Recognition Accuracy: Enhancing the accuracy of the voice recognition module to reduce false positives.
- Error Handling and Logging: Improving error handling to provide detailed logs and user-friendly error messages.
- Code Optimization: Refactoring existing modules for better performance and reduced latency.
- Security Enhancements: Strengthening data privacy and securing API interactions to prevent unauthorized access.
- User Authentication System: Implementing a secure login feature for personalized user experiences.
- Task Scheduler: Creating a more advanced task scheduler that can handle recurring tasks and reminders effectively.
- API Integrations: Adding integrations for commonly used services like Google Calendar, Spotify, and weather forecasting APIs.
- Notification System: Developing a notification system to alert users of important events, reminders, or updates.
Contributions are highly appreciated! Please follow these steps if you'd like to contribute:
- Fork the repository.
- Create a new branch for your feature (
git checkout -b feature-name). - Commit your changes (
git commit -m 'Add new feature'). - Push to the branch (
git push origin feature-name). - Open a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or suggestions, please reach out to Muhammad Afsah Mumtaz.