IoT Automation & Edge Computing

GreenGuard — Smart Greenhouse

Engineered a resilient IoT control loop for greenhouse automation, prioritizing reliability over demo-only behavior. I built firmware, broker, and backend as coordinated layers, then validated behavior under intermittent connectivity to ensure safe autonomous operation.

Role: Embedded & Backend Engineer
Timeline: Academic Project

Architecture

The system utilizes MQTT for device communication, a FastAPI server for orchestration, and WebSockets for real-time dashboard updates. Control logic is distributed between the C++ firmware (ESP32) for local resilience and the server layer for complex decision-making.

Implementation

Implementing asynchronous MQTT client logic on embedded hardware and synchronizing actuator states across distributed layers.

Outcome

A deployable IoT automation blueprint integrating embedded systems with modern web backends for reliable agricultural monitoring.

What it does

Real-time sensor data ingestion (Temp, Humidity, Soil, Light)
Multi-tasking ESP32 firmware with persistent MQTT state
WebSocket-driven monitoring dashboard for sub-second latency
Local edge fallback logic for autonomous operation during outages

In practice

Screenshots from the project. Select an image to take a closer look.

Wokwi circuit simulation and logical wiring.

Web dashboard for real-time telemetry and control.