Winners of 第3回 AI Agent Hackathon with Google Cloud

An agent aimed at the paperwork load on social workers. It fills a client's assessment items from an interview transcript, then searches a custom RAG index of support programmes in Yamagata Prefecture and lists fitting ones as tasks. A plain UI works where paper and digital coexist, returning time to face-to-face support.

An app for experiencing race day before it arrives. It cross-references the course GPX, the weather and the runner's goals and training history, then works out which points to watch, how to pace and where to drink. The advice comes back as a generated video with captions, helping runners picture the course and judge well.

A web service linking the owner of a lost pet with whoever spots it. One agent reads images, another predicts behaviour, and together they estimate from weather, time of day and terrain where the animal is likely to be, drawing it as a heat map. Finders' photos are auto-matched by similarity, and both sides can chat directly.

A system that surfaces road hazards before you drive them. It pulls Street View imagery every 50 metres along a chosen route and has AI analyse each point from several angles — blind corners, road surface, visibility — scoring risk on a ten-point scale. The result is a colour-coded map you can question spot by spot in chat.

A web app for marking handwritten exams. Questions and grading criteria are registered in advance; given a PDF of answers, three AI roles, sorting, transcription and commenting, draft the feedback. Teachers edit and place the comments on screen, then export a PDF, lifting a returned test from a bare score to real feedback.

A physical device that turns a petty argument into a debate tournament. Each side speaks in turn; the speech is transcribed and an LLM moderates, scoring on logic and whether claims are backed up. The score travels over MCP to BLE motor control and appears as the tilt of real scales. Swap the prompt and the rules change.