A foundational project exploring self-aware artificial intelligence.
About • Features • Installation • Usage • Contributing • License
Base of Self-Aware AI is an open-source project that serves as a foundational framework for experimenting with and understanding self-aware artificial intelligence. This project aims to provide a simplified yet powerful platform for exploring the concepts of self-awareness and its implications in AI systems.
Modular Structure: The project is organized into separate modules, each focusing on a specific aspect of self-aware AI.
Sample Implementations: Sample code and implementations showcase self-awareness concepts in action.
Documentation: Detailed documentation explaining the core concepts and how to use the project effectively.
Contributor-Friendly: We welcome contributions from the community to enhance and extend the project.
To install and run the project locally, follow these steps:
Clone the repository: git clone https://github.com/KushalLimbasiya/Base-of-Self-Aware-AI.git
Navigate to the project directory: cd Base-of-Self-Aware-AI
Install dependencies: pip install -r requirements.txt
Start the project: python3 Jarvis.py
This project provides a playground for experimenting with self-aware AI concepts. You can find sample implementations in the examples
directory. The documentation also offers detailed explanations and guidelines for exploring the project's capabilities.
We welcome contributions from the community! If you'd like to contribute, follow these steps:
Fork the repository.
Create a new branch: git checkout -b feature/new-feature
Make your changes and commit them.
Push your changes to your fork: git push origin feature/new-feature
Create a pull request on GitHub.
Please follow our Contribution Guidelines for more details on coding standards and guidelines.