CyberNews AI Journalist

Description

CyberNews AI Journalist is a cutting-edge tool designed to work with LLM's to fetch, aggregate, and provide insightful analyses of cybersecurity news from various sources across the internet. By gathering and synthesizing information related to cybersecurity, users are provided with up-to-date, relevant, and essential news in a single, cohesive interface. Has integrations with Wordpress so you can easily upload site specific content. Also fetches and uploads an image for the page based on the content of the article, can use public image databases or Dalle 3. Custom datascraping too! it's not for the faint of heart!

Features

• Automated News Aggregation: Collect cybersecurity news from various online sources automatically.
• Content Synthesis: Combine and analyze news articles to generate comprehensive and informative summaries.
• Filtering: Remove irrelevant information and prioritize pertinent news related to cybersecurity.
• User-Friendly Interface: Ensure a clean and intuitive user experience.
• Multi-Source Support: Pull data from different news websites, blogs, and forums.
• Real-Time Updates: Provide updates in real-time to keep users informed about the latest cybersecurity news.

Screenshots of Output

Installation and Setup

Prerequisites

• Python 3.8+
• Pipenv or similar virtual environment tool
• API keys for external news API (if applicable)

Installation Steps

1. Clone the Repository:

   git clone [your_repository_link]
   

2. Navigate into the Directory:

   cd CyberNewsAggregator
   

3. Install Dependencies:

   pipenv install
   

4. Activate the Virtual Environment:

   pipenv shell
   

5. Run the Application:

   python main.py
   

Usage

Basic Usage

1. Run the application: python main.py
2. Navigate to the user interface (if applicable) to explore aggregated news.
3. Utilize filters and search features to explore specific topics or news articles.

Advanced Usage

• API Endpoint: If your application provides an API, explain how to interact with it, including available routes, methods, expected input, and output.
• Customization: Describe how users can modify the sources from which news is aggregated or adjust the frequency of news updates.

Contributing

We welcome contributions to CyberNewsAggregator! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/my-new-feature.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the original branch: git push origin feature/my-new-feature.
5. Create a pull request.

Ensure that your code follows our linting and coding standards.

Support and Feedback

For support, questions, or feedback, please contact us at [email protected].

License

This project is licensed under the MIT License. See the LICENSE file for details.