This was the middle and high school Data & AI track hackathon of the 2026 AI Donghaeng Project.
Students from schools in different regions came to Hanyang University on September 19.
In the morning they framed a topic through AI ethics, and in the afternoon each team spent two and a half hours building an app.
The 2026 AI Donghaeng Project held its middle and high school Data & AI track hackathon at Hanyang University on Saturday, September 19, 2026. 135 middle and high school students from schools in many regions took part in 39 teams, hosted by the Ministry of Science and ICT and KOFAC. Bana ran the event and the build environment.
The day opened at 10 AM with a welcome and a career talk, followed by topic analysis and planning. From 1 PM teams wrote their plans and built their apps. At 3:20 PM a gallery walk let everyone look through each other's apps, and the day closed at 4:10 PM with team reflections and a completion ceremony.
The theme was fair, safe and accountable AI. Each team picked a problem close to home, such as a bad smell in the neighborhood, walking home at night, disaster alerts, or school lunch waste, and turned it into an app. Finished apps were published to the Bana gallery. At the same time, the accompanying teachers took a training session on teaching AI ethics in a separate room.
The day opened with a welcome and a career talk, moved through topic planning and building,
and ended with a gallery walk of each other's apps and a closing ceremony.
Data and AI at work, and where it can lead
Choosing a problem through fairness, safety and accountability
Exploring AI models and building the app on Bana · test run
Publishing the apps and looking around each other's work
Team feedback · judges' remarks
The theme was AI ethics. Each team took one lens (fairness, safety or accountability)
and turned a problem close to home into an app: a bad smell in the neighborhood, walking home at night, disaster alerts, school lunch waste.
At the same time, in a separate room, the accompanying teachers took a training session on teaching AI ethics.
We picked twelve of the 39 student projects built on Bana that day and published to the gallery.
Hover to pause, and click a card to see it up close above.
What the AI Donghaeng Project decided was the track theme and the participating schools.
Bana took on the venue setup and laptops, the timetable, the build environment and on-site mentoring on the day, and publishing to the gallery.
Students from different regions and grades moved on the same timetable. Gathering once meant 39 teams delivered work on the same day, on the same theme.
While the students planned and built their apps, the teachers who came with them took a training session on teaching AI ethics and a mini hackathon in a separate room.
Students only had to open a browser. Laptop specs and install permissions were nothing the venue had to deal with.
Each app went up to the gallery the moment it was built, and other teams opened it and left comments. The links still work today.
While the timer on the front screen counted down, planning sheets and laptops spread across every table.
Forty minutes in the afternoon went to a gallery walk of each other's apps.
Career talk02:05 left
From plan to app
On-site mentoring
Gallery walkTell us the schools, the number of students and the theme, and we will design everything from the venue to the gallery.
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