If you want to deploy this solution in Azure: You will need Visual Studio 2019 on Windows 10.There is also a TensorFlow model created with Custom Vision to allow the user to play with their hands by using the webcam. If the user is not authenticated the bots will select a random object. If the user is authenticated using Twitter the bots will call a predictor AI Model (Python Azure Function), this model learns from the selections of the objects that the user have done based on the history (stored in a Cosmos DB) to try to predict their next move. NET API decides who wins based on the logic of the game. There are 5 bots (.NET, NodeJS, Python, Java and PHP) the user can select a language as the opponent and both, the user and the bot will have to select an object to play. This a multilanguage application running on AKS with AI embedded.

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Languages used in this application include. The sample application also uses Machine Learning and Azure Cognitive Services (Custom Vision API). The Rock, Paper, Scissors, Lizard, Spock - Sample Application shows a multilanguage application built with Visual Studio and Visual Studio Code, deployed with GitHub Actions and running on Azure Kubernetes Service (AKS). Rock, Paper, Scissors, Lizard, Spock is created by Sam Kass and Karen Bryla.

Rock, Paper, Scissors, Lizard, Spock is the geek version of the classic Rock, Paper, Scissors game. We are happy to announce the release of Rock, Paper, Scissors, Lizard, Spock sample application running in Azure presented at Microsoft Ignite 2019 by Scott Hanselman and friends.

Play paper rock scissors online