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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20220417T130907Z
UID:F07319A8-D358-4ABE-B777-E555E427631D
DTSTART;TZID=Asia/Kolkata:20220218T180000
DTEND;TZID=Asia/Kolkata:20220220T200000
DESCRIPTION:MIT App Inventor is an educational tool to learn computational 
 thinking and computational action principles through building mobile apps.
  It offers an easy to use interface for young app developers to develop ap
 ps for android smartphones. This multi-session workshop was split into two
  modules. The first module covered the basics of app development such as u
 sing interactive elements like buttons and textboxes\, multimedia elements
  like sound and images\, and the process of testing\, building and sharing
  their apps. In the second module\, the children learned how to leverage p
 re-trained AI models in their apps. They learned to use MIT appinventor’
 s AI extension to train an image classifier and implement it in their app 
 projects. In this workshop\, all participants were encouraged to share the
  apps they built during the show and tell sessions.\n\nAgenda: \nFeb 18: F
 amiliarize with User interface\; Setup - Install &amp; connect with Companion 
 App\n\nComponents &amp; Designer view\; Blocks editor\; Testing app\; Building
  the apk files\;\n\nDownloading aia files to share the source code.\n\nFeb
  19: Introduction to Machine Learning: Image Classification\; Using Person
 alImageclassfier\; Dictionaries\n\nFeb 20: Building a fruit detector app\;
  Show and tell session\n\nVirtual: https://events.vtools.ieee.org/m/312147
LOCATION:Virtual: https://events.vtools.ieee.org/m/312147
ORGANIZER:ssreejith172@gmail.com
SEQUENCE:4
SUMMARY:AI powered App development with MIT App inventor
URL;VALUE=URI:https://events.vtools.ieee.org/m/312147
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;MIT App I
 nventor is an educational tool to learn computational thinking and computa
 tional action principles through building mobile apps. It offers an easy t
 o use interface for young app developers to develop apps for android smart
 phones. This multi-session workshop was split into two modules. The first 
 module covered the basics of app development such as using interactive ele
 ments like buttons and textboxes\, multimedia elements like sound and imag
 es\, and the process of testing\, building and sharing their apps. In the 
 second module\, the children learned how to leverage pre-trained AI models
  in their apps. They learned to use MIT appinventor&amp;rsquo\;s AI extension 
 to train an image classifier and implement it in their app projects. In th
 is workshop\, all participants were encouraged to share the apps they buil
 t during the show and tell sessions.&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;
 p&gt;&lt;strong&gt;Feb 18:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt; Familiarize wi
 th User interface\; Setup - Install &amp;amp\; connect with Companion App&lt;/spa
 n&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Components &amp;amp\; Designer vie
 w\; Blocks editor\; Testing app\; Building the apk files\;&amp;nbsp\;&lt;/span&gt;&lt;/
 p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Downloading aia files to share the
  source code.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Feb 19:&lt;/strong&gt;&lt;span style=&quot;f
 ont-weight: 400\;&quot;&gt; Introduction to Machine Learning: Image Classification
 \; Using PersonalImageclassfier\; Dictionaries&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Feb 
 20: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Building a fruit detector ap
 p\;&amp;nbsp\; Show and tell session&lt;/span&gt;&lt;/p&gt;
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