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The system automates plant watering, monitors environmental conditions, and provides real-time data visualization through a Dockerized environment.\n\n## 🔧 System Architecture\n\n| Component         | Specification                           |\n|-------------------|-----------------------------------------|\n| Operating System  | Raspbian 12 (bookworm)                  |\n| Main Controllers  | • Raspberry Pi 4                        |\n|                   | • Arduino Nano 33 BLE Sense rev2        |\n| Communication     | NINA-B306 Bluetooth Module              |\n| Sensors           | • HS3003 (Temperature \u0026 Humidity)       |\n|                   | • LPS22HB (Barometric Pressure)         |\n|                   | • Soil Moisture Sensors (8595193516237) |\n\n## 📊 Features\n\n### Environmental Monitoring\n- Real-time temperature and humidity monitoring (HS3003)\n- Barometric pressure tracking (LPS22HB)\n- Soil moisture measurement\n- Water level monitoring\n\n### Smart Automation\n- Automated watering system based on soil moisture\n- BLE wireless communication\n- Docker-based deployment\n- Data visualization through Grafana dashboards\n\n## 🐳 Software Stack\n- InfluxDB for time-series data storage\n- Grafana for data visualization\n- Custom BLE gateway service\n- Containerized deployment with Docker\n\n## 🚀 Getting Started\n1. Set up the hardware components\n2. Deploy Docker services on Raspberry Pi\n3. Configure the BLE gateway\n4. Import Grafana dashboards\n\n## 🤝 Contributing\nContributions are welcome! Please feel free to submit issues and pull requests.\n\n## 📄 License\nThis project is licensed under the MIT License - see the LICENSE file for details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarkub3327%2Fai.ecosense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarkub3327%2Fai.ecosense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarkub3327%2Fai.ecosense/lists"}