Experiments with Google

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Community Keijiban コミュニティー掲示板 by Toaster - Experiments with Google

Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

experiments.withgoogle.com

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The Wakabadai danchi in Yokohama is a housing complex of around 15,000 residents, of which almost half are over the age of 65. The members of the Yamayuri Club wanted to find a better way to stay connected with each other. They organize group activities but it can be hard for some of the residents to keep track of and remember all of the events. They were inspired by the notice boards, or “keijiban,” around their danchi to create an Action that could help them.

“Community Keijiban” is an Action on Google that allows a user to access local event information using voice. It also keeps track of the activities the user is interested in and sends an audible reminder to their Google Home when it is time to leave. Community Keijiban can be adapted for any type of group that needs to share information amongst its members- such as neighbors, schools, or community organizations.

 

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Tako Assistant 凧アシスタント by Akira Kondo, Jun Masuda & Mash Studios - Experiments with Google

Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

experiments.withgoogle.com

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Akira Kondo is a 76-year old retired engineer. After he retired he became very interested in designing, building, and flying custom kites. He has a large collection of kites that all require slightly different conditions to fly. He designed “Tako Assistant,” an Action on Google that takes information about his kite collection and combines that with real time wind and weather information to suggest places for him to fly his kites. This simple Action is currently tailored for flying kites, but can be adapted for any hobby that relies on wind, weather, or location data.

 

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Teachable Sorter | Coral

This project shows you how to build a machine that you can teach to rapidly recognize and sort objects using your own custom machine learning models.

coral.ai

This is a starter project that demonstrates how to integrate on-device machine learning into your physical projects. It’s a machine you can teach to rapidly recognize and sort all kinds of objects using your own custom machine learning models.

 

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DWF19 | Make. Listen. Play.

The Digital Writers' Festival is an online-first program of live-streamed events, professional development and interactive projects.

2019.digitalwritersfestival.com

Over the past 6 months, Google’s Creative Lab in Sydney have teamed up with the Digital Writers’ Festival team, and an eclectic cohort of industry professionals, developers, engineers and writers to test and experiment whether Machine Learning (ML) could be used to inspire writers.

Writers Jamie Marina Lau, Khalid Warsame and Tegan Elizabeth Webb have been toying with the tools created by the Lab.

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