Nova AI is an advanced artificial intelligence project designed to provide cutting-edge solutions for various applications. This README provides an overview of the project, its structure, and how to get started.
Nova AI leverages state-of-the-art machine learning algorithms to deliver high-performance AI solutions. The project is modular, allowing for easy integration and customization to meet specific needs.
- Modular Architecture: Easily extend and customize the AI capabilities.
- High Performance: Optimized algorithms for fast and efficient processing.
- Scalability: Designed to handle large datasets and complex computations.
- User-Friendly API: Simple and intuitive API for seamless integration.
To get started with Nova AI, follow these steps:
-
Clone the repository:
git clone https://github.com/evagrinn067/nova-ai.git cd nova-ai
-
Install dependencies:
pip install -r requirements.txt
-
Set up environment variables: Create a
.env
file in the root directory and add the necessary environment variables.
Here's a basic example of how to use Nova AI:
We welcome contributions from the community. To contribute, follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature-branch
- Make your changes.
- Commit your changes:
git commit -m "Description of changes"
- Push to the branch:
git push origin feature-branch
- Create a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.