CropCare

CropCare came from a simple observation: a lot of smart-agriculture demos prove the hardware works, but stop short of showing a software workflow that someone could actually trust day to day.

The project was meant to connect field signals, cloud automation, and a readable operator experience inside one end-to-end story.

I used an Azure-backed MQTT pipeline to move between sensing and response, so the system could both observe conditions and react without feeling like a disconnected hardware demo.

The interface work focused on making monitoring and control legible, which helped the project read as a product prototype instead of a bundle of technical parts.

The final prototype demonstrated reliable two-way communication between field data and cloud-side actions, which was the most important proof point for the concept.

It also gave me a concise way to explain how embedded constraints, backend integration, and user-facing control design fit together.