<div dir="ltr"><div>Hi Sarah and Jamie,</div><div><br></div><div>I understand that Machine Learning For Kids can also export an AI model to Python for projects involving image recognition. It creates a <a href="http://repl.it" target="_blank">repl.it</a> template project with all the necessary libraries already in place, and provides you with your unique API key that allows you to use the AI model you trained.</div><br>Python being Python, accessing a webcam is a challenge, so it's easier to: take photos of the things you want to recognise and upload them into the <a href="http://repl.it" target="_blank">repl.it</a> project as a file or access images on the Internet via URLs.<div><br></div><div>Setting up Machine Learning For Kids for a class is a bit involved. I helped make the video at the top of <a href="https://www.digitaltechnologieshub.edu.au/teachers/lesson-ideas/ai-lesson-plans/ai-image-recognition-exploring-limitations-and-bias" target="_blank">this lesson</a> on the Digital Technologies Hub to walk through the process, but it may be a little out of date now.</div><div><br></div><div>I'm sure MLFK is not the only option for AI and machine learning in Python.<br><div><br></div><div>Cheers,</div><div><br></div><div>Nathan</div></div><div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, 18 Aug 2020 at 09:38, Sarah Gale <<a href="mailto:Sarah.Gale@genazzano.vic.edu.au" target="_blank">Sarah.Gale@genazzano.vic.edu.au</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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<p class="MsoNormal"><span lang="EN-US">Hi Jamie, <u></u><u></u></span></p>
<p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p>
<p class="MsoNormal"><span lang="EN-US">You didn’t speak to me, but I am interested in the answer!
<u></u><u></u></span></p>
<p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p>
<p class="MsoNormal"><span lang="EN-US">I have been using Machine Learning for Kids – a great resource as an intro
</span><a href="https://machinelearningforkids.co.uk/" target="_blank">https://machinelearningforkids.co.uk/</a><u></u><u></u></p>
<p class="MsoNormal">Uses MITs scratch version 3 (unable to save projects in beta so make sure students screen record their final project) and MITs App Creator with great tutorials.<u></u><u></u></p>
<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal">Looking forward to other’s responses!<u></u><u></u></p>
<p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p>
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<font style="font-family:Arial;font-size:10pt;color:black;font-weight:bold;font-style:normal">Sarah</font><font color="black" size="2" face="Arial"> </font><font style="font-family:Arial;font-size:10pt;color:black;font-weight:bold;font-style:normal">Gale</font><br>
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<p class="MsoNormal"><b><span style="font-size:12pt;color:black">From: </span></b><span style="font-size:12pt;color:black">yr11it <<a href="mailto:yr11it-bounces@edulists.com.au" target="_blank">yr11it-bounces@edulists.com.au</a>> on behalf of Jamie LE ROSSIGNOL <<a href="mailto:lerossignol.jamie@BSSC.EDU.AU" target="_blank">lerossignol.jamie@BSSC.EDU.AU</a>><br>
<b>Reply-To: </b>Year 11 Information Technology Teachers' Mailing List <<a href="mailto:yr11it@edulists.com.au" target="_blank">yr11it@edulists.com.au</a>><br>
<b>Date: </b>Tuesday, 18 August 2020 at 9:30 am<br>
<b>To: </b>Year 11 Information Technology Teachers' Mailing List <<a href="mailto:yr11it@edulists.com.au" target="_blank">yr11it@edulists.com.au</a>><br>
<b>Subject: </b>[Yr11 Information Technology] Python & Facial recognition<u></u><u></u></span></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal"><span style="font-size:12pt;color:black">Hi All,<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:12pt;color:black">At the DLTV conference this year, I spoke to someone about AI Machine Learning and Facial recognition done with Python. I can not for the life of me find the resource and will lockdown the notes
are at work. So can anyone point me in the direction of student friendly resources involving Machine Learning using Python , and Facial Recognition using Python.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:12pt;color:black"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-size:12pt;color:black">Regards,<u></u><u></u></span></p>
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<p style="line-height:105%;background:white"><b><span style="font-size:12pt;line-height:105%;font-family:Arial,sans-serif;color:rgb(0,86,149)">Jamie Le Rossignol<br>
</span></b><b><span style="font-size:9.5pt;line-height:105%;font-family:Arial,sans-serif;color:rgb(0,86,149);background:white">Applied Computing, </span></b><b><span style="font-size:9.5pt;line-height:105%;font-family:Arial,sans-serif;color:rgb(0,86,149)">VET CDM,
& VET IDMT Teacher</span></b><span style="font-size:12pt;line-height:105%;color:black"><u></u><u></u></span></p>
<p style="line-height:115%;background:white"><b><span style="font-size:8.5pt;line-height:115%;font-family:Arial,sans-serif;color:rgb(0,86,149)">Bendigo Senior Secondary College</span></b><span style="font-size:8.5pt;line-height:115%;font-family:Arial,sans-serif;color:rgb(0,86,149)"><br>
PO Box 545, Bendigo, VIC 3552, Australia<br>
Phone <b>61 3 5443 1222</b></span><span style="font-size:12pt;line-height:115%;color:black"><u></u><u></u></span></p>
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<span style="font-size:8.5pt;line-height:115%;font-family:Arial,sans-serif;color:rgb(0,86,149)">Email
<b>[<a href="mailto:lerossignol.jamie@bssc.edu.au" target="_blank">lerossignol.jamie@bssc.edu.au</a>]lerossignol.jamie</b></span><b><span style="font-size:8.5pt;line-height:115%;font-family:Arial,sans-serif;color:rgb(5,99,193)">@<a href="http://bssc.edu.au" target="_blank">bssc.edu.au</a></span></b><span style="font-size:12pt;line-height:115%;color:black"><u></u><u></u></span></p>
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</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><span><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial;font-weight:700;vertical-align:baseline;white-space:pre-wrap">Nathan Alison</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">Professional Learning Coordinator | </span><a href="https://dltv.vic.edu.au/" target="_blank"><span style="font-size:10pt;font-family:Arial;color:rgb(17,85,204);vertical-align:baseline;white-space:pre-wrap">Digital Learning and Teaching Victoria</span></a></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">Email: <a href="mailto:nathan@dltv.vic.edu.au" target="_blank">nathan@dltv.vic.edu.au</a></span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">Phone: (03) </span><span style="font-size:10pt;font-family:Arial;color:rgb(51,51,51);vertical-align:baseline;white-space:pre-wrap">9349 3733 </span></p><br></span></div><div><div style="margin:0cm 0cm 0.0001pt;background-color:white"><div style="margin:0cm 0cm 0.0001pt"><font color="#2f5496" face="Arial, sans-serif"><span style="font-size:18.6667px">DLTV’S FREE <b>WEBINAR </b></span></font><b style="color:rgb(47,84,150);font-family:Arial,sans-serif;font-size:18.6667px">SERIES </b><span style="color:rgb(47,84,150);font-family:Arial,sans-serif;font-size:18.6667px">CONTINUES IN </span><span style="color:rgb(47,84,150);font-family:Arial,sans-serif;font-size:18.6667px">T</span><span style="font-size:18.6667px;color:rgb(47,84,150);font-family:Arial,sans-serif">ERM THREE 2020</span></div><div style="margin:0cm 0cm 0.0001pt"><font face="Arial, sans-serif" color="#ff9900"><span style="font-size:18.6667px"><a href="http://dltv.vic.edu.au/events" target="_blank">dltv.vic.edu.au/events</a></span></font></div></div></div></div></div></div></div></div></div></div></div>