Education Program
Smart-Farm Education Program
A hands-on education program commissioned by the Yangpyeong Education Office through the museum, where students experience an IoT smart farm and AI crop diagnosis first-hand. I planned the program and built everything it needed solo (the full server and web-app environment), designed so students watch data accumulate and sensor values change in real time, with their own eyes. It ran as a class for a cohort of 15 Yangpyeong high-school students, selected by application. A class runs as a guided flow: students enter the virtual lab, pick a room at the hub, and move through four STEPs (weather, AI vision, IoT, and camera), watching data load into a virtual Supabase before finishing with 'my app complete' and a live hardware demo. A location-based weather API ties the lessons to real growing conditions, and the YOLO training process (epoch experiments, loss reduction) is explored together at the students' level. The program was delivered as a museum × education-office commission: an exhibition-linked education case planned, built, and operated end to end by one person.
Highlights
- Integrated a location-based weather API to tie lessons to real growing conditions.
- Explored the YOLO training process (epoch experiments, loss reduction) at the students' level.
- Students watch sensor values load and change in real time in a virtual server's database.
- Designed the class flow: open lab → room-picker hub → 4 STEPs (weather · AI vision · IoT · camera) → virtual Supabase → app complete → live demo.
- Commissioned by the Yangpyeong Education Office through the museum; planned and built solo, including the full server and web-app environment.
- Delivered as a class to a 15-student cohort of Yangpyeong high-school students, selected by application.
Architecture
How the app is structured: screens, roles, and data flow.
