Winners of 第4回 Agentic AI Hackathon with Google Cloud

A 3D anatomy atlas driven by plain language. Ask about cerebral infarction and the AI picks the relevant organs and vessels, renders them in 3D and adds an explanation. Interpretation, identification and drawing are separate stages, holding down wrong displays, and ambiguous input comes back as candidates to confirm.

An agent that builds a Minecraft town from a vague description. It draws a concept image, works out zoning and building plans, then converts the image in two steps, putting the structure into language before turning it into coordinates, which keeps the result coherent. The frame goes up in bulk; a bot adds decoration on site.

An app that suggests what you can build with the bricks you own. It recognises parts from photos to build an inventory, and once you pick a theme and difficulty the AI generates a 3D build sequence. A physics engine checks it for overlaps and floating pieces, reports the faults and makes the AI redo it, up to three times.

An app that lays the laws behind everyday scenes over the scenes themselves in AR. Pick a difficulty and a field, point a phone at a fountain or a bridge, and an AI reads the image and draws trajectories and force vectors on top of what the camera sees. If curiosity goes further, a link leads to a fuller written explanation.

A platform linking museums and visitors. From a painting's image, AI writes commentary at three difficulty levels in several languages, delivered as an audio guide. Preferences left on each work are matched against embeddings to suggest what to see next and where it hangs, while museums see a per-work view of how pieces land.

An experimental system that clears intersections by market instead of traffic light. Each vehicle's AI agent negotiates for right of way, weighing urgency and its funds, and settles with a micropayment. Small instant payments run without handing over keys, sketching traffic as it might look once driving is autonomous.

An AI partner for finding things around the house. It watches the room at intervals, keeping a log of footage, so asked where the keys are it reports not just a place but a state, such as hidden under a magazine. If they are absent, it reasons from calendar entries to suggest candidates, and turns its camera with a servo.

An analysis platform for baseball teams short of both coaching and money. Pose estimation from video turns a player's movement into numbers, replacing instruction based on feel with feedback in figures and words. It also fields position-specific questions and suggests training menus, on a serverless setup that keeps costs low.

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.