Private project
Raspberry Pi and sensor data platform for plant monitoring
Plant Pi groups private experiments around plants, sensors and local automation. The core is a small Raspberry Pi/sensor platform that collects measurements, processes them locally and makes them usable for monitoring or automation.
The project is less a polished app and more a hands-on backend/IoT learning field: sensor clients, Python services, MQTT, local configuration, Docker deployment and simple persistence need to work reliably on constrained hardware. It highlights system design, data flows and reliable operation on small hardware.
Python services for Raspberry Pi and sensor clients
Measurements for temperature, humidity, light or soil moisture as event/data flows
MQTT and local service communication for small automation scenarios
Docker and system-service setup for operation on constrained hardware
