{"id":26509839,"url":"https://github.com/nna301023/seagrow","last_synced_at":"2026-04-11T12:37:31.040Z","repository":{"id":267425288,"uuid":"899789561","full_name":"NnA301023/SeaGrow","owner":"NnA301023","description":"FINAL PROJECT ELEKTRO 2021","archived":false,"fork":false,"pushed_at":"2024-12-10T12:07:19.000Z","size":1324,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-06T03:41:03.783Z","etag":null,"topics":["iot","machine-learning","microcontroller","time-series"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NnA301023.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-12-07T03:03:19.000Z","updated_at":"2025-03-27T21:06:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"fc0c0ba8-98cb-4ad3-b6fb-e48f45bc294f","html_url":"https://github.com/NnA301023/SeaGrow","commit_stats":null,"previous_names":["nna301023/seagrow"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NnA301023/SeaGrow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NnA301023%2FSeaGrow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NnA301023%2FSeaGrow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NnA301023%2FSeaGrow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NnA301023%2FSeaGrow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NnA301023","download_url":"https://codeload.github.com/NnA301023/SeaGrow/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NnA301023%2FSeaGrow/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265982798,"owners_count":23859573,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["iot","machine-learning","microcontroller","time-series"],"created_at":"2025-03-21T01:37:38.991Z","updated_at":"2026-04-11T12:37:25.987Z","avatar_url":"https://github.com/NnA301023.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🌊 Aquaculture Monitoring System\n\n## Overview\n\nA cutting-edge, real-time monitoring and control system designed to revolutionize aquaculture management. This comprehensive solution leverages modern web technologies to provide seamless, intelligent monitoring of aquatic environments.\n\n![System Architecture](https://img.shields.io/badge/Architecture-Microservices-blue)\n![Python Version](https://img.shields.io/badge/Python-3.8+-green)\n![Docker](https://img.shields.io/badge/Containerization-Docker-blue)\n![License](https://img.shields.io/badge/License-MIT-yellow)\n\n## 🚀 Key Features\n\n### Real-Time Environmental Monitoring\n- **Comprehensive Sensor Tracking**\n  - Water temperature monitoring\n  - Salinity level detection\n  - Acidity (pH) measurement\n  - Instant alerts for parameter deviations\n\n### Advanced Control Capabilities\n- Interactive web-based control panel\n- Precision parameter adjustments\n- Automated scheduling for aquaculture cycles\n\n### Data Management\n- Robust historical data logging\n- Comprehensive data visualization\n- WebSocket-powered real-time updates\n\n## 🛠 Tech Stack\n\n| Category | Technologies |\n|----------|--------------|\n| Backend | ![Flask](https://img.shields.io/badge/Flask-Framework-red) ![SocketIO](https://img.shields.io/badge/SocketIO-Realtime-green) |\n| Message Broker | ![Redis](https://img.shields.io/badge/Redis-MessageQueue-red) |\n| Frontend | ![HTML5](https://img.shields.io/badge/HTML5-Markup-orange) ![JavaScript](https://img.shields.io/badge/JavaScript-ES6-yellow) |\n| Containerization | ![Docker](https://img.shields.io/badge/Docker-Containers-blue) |\n\n## 🔧 Prerequisites\n\nBefore you begin, ensure you have the following installed:\n- 🐳 Docker \u0026 Docker Compose\n- 🐍 Python 3.8 or higher\n- 📦 Redis server\n\n## 💻 Installation \u0026 Setup\n\n### Quick Start with Docker\n\n```bash\n# Clone the repository\ngit clone https://github.com/yourusername/aquaculture-monitoring.git\ncd aquaculture-monitoring\n\n# Build and launch containers\ndocker-compose up -d\n```\n\n### Local Development Setup\n\n```bash\n# Install dependencies\npip install -r requirements.txt\n\n# Run the application\npython app.py\n```\n\n## 📂 Project Structure\n\n```\naquaculture-monitoring/\n│\n├── app.py                 # Main application entry point\n├── data_generator.py      # Simulated sensor data generation\n├── docker-compose.yml     # Docker service configurations\n├── requirements.txt       # Python package dependencies\n│\n└── src/\n    └── templates/         # Web interface templates\n        ├── monitoring.html\n        ├── control.html\n        └── input_schedule.html\n```\n\n## 🌐 API Endpoints\n\n| Endpoint | Method | Description |\n|----------|--------|-------------|\n| `/api/parameters` | GET | Retrieve current sensor parameters |\n| `/api/parameters` | POST | Update sensor parameters |\n| `/api/schedules` | GET | Fetch all aquaculture schedules |\n| `/api/schedules` | POST | Create a new schedule |\n| `/api/schedules` | DELETE | Reset all schedules |\n| `/api/sensor_history` | GET | Access historical sensor data |\n\n## 🔌 WebSocket Events\n\n- `connect`: Establishes client connection\n- `sensor_data`: Streams real-time sensor updates\n- `disconnect`: Handles client disconnection\n\n## 🌍 Configuration\n\n### Environment Variables\nNo additional configuration required. Default Redis connection: `localhost:6379`\n\n## 🤝 Contributing\n\nWe welcome contributions! Please follow these steps:\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/innovative-improvement`)\n3. Commit changes (`git commit -m 'Add groundbreaking feature'`)\n4. Push to branch (`git push origin feature/innovative-improvement`)\n5. Open a Pull Request\n\n## 📄 License\n\nDistributed under the MIT License. See `LICENSE` for more information.\n\n## 🙏 Acknowledgments\n\n- Flask \u0026 Flask-SocketIO Communities\n- Redis Open Source Project\n- Passionate Aquaculture Innovators\n\n---\n\n**Built with ❤️ for the Future of Sustainable Aquaculture**","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnna301023%2Fseagrow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnna301023%2Fseagrow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnna301023%2Fseagrow/lists"}