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KOSASIH/AuroraAxiom

AuroraAxiom

Official repository for the AuroraAxiom project.

About

AuroraAxiom is a global, AI-powered network predicting, preventing, and mitigating natural disasters for a safer, more resilient world.

Project Overview

AuroraAxiom aims to leverage cutting-edge technologies in artificial intelligence, machine learning, and data analytics to develop a robust and scalable platform for disaster risk reduction and management. Our mission is to save lives, reduce economic losses, and promote sustainable development by providing accurate and timely warnings, and actionable insights to stakeholders.

Repository Structure

This repository contains the following directories and files:

  1. docs: Documentation for the project, including technical guides, user manuals, and API references.
  2. src: Source code for the AuroraAxiom platform, including backend, frontend, and AI/ML components.
  3. data: Sample datasets and data sources used for training and testing the AI/ML models.
  4. tests: Unit tests, integration tests, and other testing frameworks for the platform.

Getting Started

To get started with the AuroraAxiom project, follow these steps:

  1. Clone the repository: git clone https://github.com/KOSASIH/AuroraAxiom.git
  2. Install dependencies: pip install -r requirements.txt
  3. Set up your development environment: python setup.py
  4. Run the application: python app.py

Contributing

We welcome contributions to the AuroraAxiom project! If you're interested in contributing, please:

  1. Fork the repository: git fork https://github.com/KOSASIH/AuroraAxiom.git
  2. Create a new branch: git branch my-feature
  3. Make your changes: git add . and git commit -m "My feature"
  4. Submit a pull request: git push origin my-feature

License

AuroraAxiom is licensed under the Apache License 2.0. See LICENSE for details.

Contact

For questions, comments, or feedback, please contact us at info@auroraxiom.com.

Acknowledgments

We acknowledge the contributions of our team members, partners, and collaborators who have made this project possible.