https://github.com/kosasih/egaia-core
The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives.
https://github.com/kosasih/egaia-core
biotechnology ecological-restoration environment environmental-monitoring global-climate global-climate-change
Last synced: 3 months ago
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The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives.
- Host: GitHub
- URL: https://github.com/kosasih/egaia-core
- Owner: KOSASIH
- License: mit
- Created: 2024-11-01T07:53:41.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-11-01T14:10:51.000Z (12 months ago)
- Last Synced: 2025-04-14T02:11:27.973Z (6 months ago)
- Topics: biotechnology, ecological-restoration, environment, environmental-monitoring, global-climate, global-climate-change
- Language: Python
- Homepage: https://kosasih.github.io/egaia-core/
- Size: 263 KB
- Stars: 12
- Watchers: 2
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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EGaia by KOSASIH is licensed under Creative Commons Attribution 4.0 International
# egaia-core
The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives. This core library integrates biotechnology and AI-driven solutions to facilitate the development of resilient plant species, optimize reforestation efforts, and monitor ecosystem health. Designed for collaboration and scalability, egaia-core empowers researchers, developers, and environmentalists to contribute to sustainable practices and biodiversity restoration efforts worldwide.
# Project EGaia - Core Repository
## Overview
Project EGaia is an innovative ecological restoration initiative that leverages biotechnology, artificial intelligence, and community engagement to combat climate change and biodiversity loss. The `egaia-core` repository serves as the foundational framework for the project, providing essential algorithms, data models, and tools for ecological restoration efforts.
## Features
- **Biotechnology Algorithms**: Tools for genetic engineering and microbial solutions to enhance plant resilience.
- **AI Models**: Machine learning algorithms for drone navigation and ecosystem health monitoring.
- **Drone Control Systems**: Code for managing drone operations and data collection.
- **Data Processing**: Functions for cleaning, analyzing, and visualizing ecological data.
- **Community Engagement Tools**: Resources for education and citizen science participation.
## Installation
To set up the `egaia-core` project locally, follow these steps:
1. **Clone the Repository**:
```bash
1 git clone https://github.com/KOSASIH/egaia-core.git
2 cd egaia-core
```
2. **Create a Virtual Environment (optional but recommended)**:
```bash
1 python -m venv venv
2 source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install Dependencies**:
```bash
1 pip install -r requirements.txt
```
## Usage
### Running Examples
To run the example scripts provided in the examples/ directory, use the following command:
```bash
1 python examples/reforestation_example.py
```
### Running Tests
To ensure that everything is working correctly, you can run the unit tests:
```bash
1 pytest tests/
```
# Contributing
Contributions are welcome! Please read the [CONTRIBUTING.md](CONTRIBUTING.md) file for guidelines on how to contribute to the project.
# License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.