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Codelab: Actions on Google - DevFestAhm18

Codelab: Actions on Google - DevFestAhm18

Actions on Google is a developer platform that lets you create software to extend the functionality of the Google Assistant, Google's virtual personal assistant, across more than 500 million devices, including smart speakers, phones, cars, TVs, headphones, and more.

There are three levels of codelabs which includes level_1, level_2, and level_3 that we’re going to cover. At last, you’ll be able to develop an rich interactive application by yourself.

Level_1:
This codelab covers beginner-level concepts for developing with Actions on Google like how to get started with your first project on action console, how to create entities and intents with simple response and integration with google assistant.

Level_2:
This codelab will cover intermediate-level concepts like getting permission from the user for accessing personal data like Name, Location etc. Also, it covers how to write your own webhook in Node.js and deploy it to firebase.

Level_3:
This codelab covers intermediate and advanced-level concepts for developing with Actions on Google. It covers Rich Responses like adding Lists, Carousel into your application, how to handle user’s silence and cancellations and so on.

Jaldeep Asodariya

November 25, 2018
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  1. Codelab Actions on Google Jaldeep Asodariya GDG Ahmedabad @jaldeepasodariy Juhil

    Somaiya Jr. Application Eng. @ImJuhilSomaiya Nimesh Solanki Student @NimeshS17
  2. Intent Matching - Match and categorize user utterances to an

    intent. “ Entity Extraction - Identify key words and phrases spoken by the user. @
  3. “To think creatively, we must be able to look afresh

    at what we normally take for granted” - George Keller Let’s Build ACTION together
  4. Nimesh Solanki ICT Student At PDPU, Gandhinagar Published Action PDPU

    Scheduler: Tells day to day schedule of college. GDG Ahmedabad DevFest: Official GDG ahmedabad’s DevFest Action.
  5. Personalize your responses with helper intents Helper intents return frequently-requested

    information such as the user's name and location actions_intent_PERMISSION
  6. Thank you! Dank je! ध यवाद! ধন বাদ! ہﯾرﮑﺷ ﺎﮐ

    پآ! ﻲﻧﺎﺑرﮭﻣ ﻲﺟ نﺎھوﺗ! ကျေးဇူးတင်ပါတယ်! ന ി! ありがとうございました! Ευχαριστώ! Gràcies! ਤੁਹਾਡਾ ਧੰਨਵਾਦ! ಧನ ಾದ! À ringrazià ti! 谢谢! ந றி! ధన ా ల ! ¡Gracias! Faleminderit! આભાર! ขอขอบคุณ! Jaldeep Asodariya @jaldeepasodariy Juhil Somaiya @ImJuhilSomaiya Nimesh Solanki @NimeshS17