H
Gallery/第4回 Agentic AI Hackathon with Google Cloud/【朗報】ずんだもん、野菜になる。小学生のやさしい植物教育を目指して。
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Honorable Mention — 第4回 Agentic AI Hackathon with Google Cloud 2026

【朗報】ずんだもん、野菜になる。小学生のやさしい植物教育を目指して。

A device for talking to a character reincarnated as a plant. Sensors watch soil moisture, temperature, humidity and light, and pass the readings to the AI as feelings — thirst, cold — so it speaks up with a face and a voice. It starts talking when a motion sensor spots someone, so a child gets a cue to care, no numbers needed.

Event
第4回 Agentic AI Hackathon with Google Cloud
Organizer
Zenn (Classmethod) / Google Cloud Japan
Year
2026
Region
Japan
Prize
Honorable Mention
Tech
Google CloudGemini 2.5 FlashCloud Speech-to-TextCompute EngineVOICEVOX EngineRaspberry Pi 5PythonPygameSQLite

From the organizer's citation (summary)

Judges found the experience appealing, with a motion sensor meaning the plant speaks to you first, and said that combined with a likeable character it has real power to catch a child's interest. They also credited the use of sensor data history.
A summary of the commentary the organizer published. See the source for the original wording. Zenn (Classmethod) official results

Why It Won — our reading

The core is probably the translation of sensor readings into the language of a personality. A humidity percentage moves no child; being told it is thirsty gets the plant watered. Changing nothing but the representation of the same data changes behaviour, and that design decision is what separates this from a monitoring rig. Leaving the trigger to a motion sensor matters too, since it removes the need to go and operate something before anything happens.

This is our own analysis based on the official announcement and the project's own materials. It is not the organizer's stated reasoning.
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Check the original

The links below lead to external sites.

Summaries are written by this site. Project pages include demo videos, screenshots and the team's own write-up (videos may autoplay).