Edge-AI Plant Care System

This project explores the intersection of precision agriculture and embedded systems. Designed as a closed-loop robotic ecosystem, the unit utilizes a dual-architecture approach: an NVIDIA Jetson Nano running custom Computer Vision models (PyTorch/OpenCV) to visually diagnose plant health, and an ESP32 microcontroller handling real-time telemetry and 12V actuation (pumps and full-spectrum lighting). The goal is to create a system that doesn't just water on a timer, but reacts dynamically to biological needs.

Current Status: Active Development

Note: The image displayed is an AI-generated concept rendering. Photos of the physical 3D-printed build and wiring schematics will be uploaded as the project reaches completion.