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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20240918T042113Z
UID:BB5875F9-51E1-42AE-A636-E593D33BA5D5
DTSTART;TZID=Asia/Kolkata:20240909T170000
DTEND;TZID=Asia/Kolkata:20240914T200000
DESCRIPTION:The Workshop on Artificial Intelligence for Smart Cities with P
 ython was organized by the Women in Engineering (WIE) affinity group\, IEE
 E Student Branch at Jaypee University of Information Technology (JUIT)\, f
 rom 9th to 14th September 2024. Held online\, the workshop provided a plat
 form for 50 participants from various engineering disciplines to explore t
 he application of AI in developing smart cities.\n\nThrough interactive se
 ssions and hands-on exercises\, students gained proficiency in Python-base
 d data analysis\, machine learning\, and deep learning\, all focused on so
 lving urban challenges. The workshop covered topics like optimizing traffi
 c\, energy management\, and predictive maintenance\, showcasing how AI can
  enhance urban living.\n\nThe six-day event included real-world examples\,
  encouraging students to apply AI techniques to improve city infrastructur
 e. Participants expressed appreciation for the practical approach and enga
 ging content\, making the workshop a resounding success.\n\nAgenda: \nAgen
 da for Workshop on Artificial Intelligence for Smart Cities with Python\nD
 ates: 9th - 14th September 2024\nVenue: Online Platform\n\nDay 1: Introduc
 tion to AI and Smart Cities\nOverview of artificial intelligence and its r
 ole in transforming urban infrastructure and services.\n\nDay 2: Data in S
 mart Cities\nExploring data sources from sensors\, social media\, and publ
 ic services\, and introduction to data analysis with Python.\n\nDay 3: Mac
 hine Learning Techniques:\nPractical applications of machine learning for 
 smart city solutions\, such as traffic management and predictive maintenan
 ce.\n\nDay 4:\n- Deep Learning for Smart Cities:\nOverview of deep learnin
 g and its advanced applications in optimizing city resources and services.
 \n\nDay 5: Project Ideas and AI Solutions\nDiscussion of potential AI-driv
 en projects and emerging research areas within smart city technology.\n\nD
 ay 6: Workshop Conclusion and Q&amp;A\nReview of key learnings\, final Q&amp;A\, a
 nd feedback session.\n\nVirtual: https://events.vtools.ieee.org/m/434723
LOCATION:Virtual: https://events.vtools.ieee.org/m/434723
ORGANIZER:wieieee@juitsolan.in
SEQUENCE:63
SUMMARY:Workshop on Artificial Intelligence for Smart Cities in Python
URL;VALUE=URI:https://events.vtools.ieee.org/m/434723
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The&lt;strong&gt; Workshop on Artificial Intelli
 gence for Smart Cities with Python&lt;/strong&gt; was organized by the Women in 
 Engineering (WIE) affinity group\, IEEE Student Branch at Jaypee Universit
 y of Information Technology (JUIT)\, from 9th to 14th September 2024. Held
  online\, the workshop provided a platform for 50 participants from variou
 s engineering disciplines to explore the application of AI in developing s
 mart cities.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Through interactive sessions and hands-on exer
 cises\, students gained proficiency in Python-based data analysis\, machin
 e learning\, and deep learning\, all focused on solving urban challenges. 
 The workshop covered topics like optimizing traffic\, energy management\, 
 and predictive maintenance\, showcasing how AI can enhance urban living.&lt;/
 p&gt;\n&lt;p&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/fc
 67af8f-52e8-4ce2-8115-3f4ad1a79595&quot; width=&quot;646&quot; height=&quot;1149&quot;&gt;&lt;/p&gt;\n&lt;p&gt;The
  six-day event included real-world examples\, encouraging students to appl
 y AI techniques to improve city infrastructure. Participants expressed app
 reciation for the practical approach and engaging content\, making the wor
 kshop a resounding success.&lt;/p&gt;\n&lt;p&gt;&lt;img src=&quot;https://events.vtools.ieee.o
 rg/vtools_ui/media/display/fa52f9cd-aea3-42e3-983c-e0b35394171d&quot;&gt; &amp;nbsp\; 
 &amp;nbsp\;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/4c
 752cac-5678-41ca-a289-2e1c590feef3&quot; width=&quot;392&quot; height=&quot;245&quot;&gt;&lt;/p&gt;&lt;br /&gt;&lt;br
  /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Agenda for Workshop on Artificial Intelligence for Sma
 rt Cities with Python &amp;nbsp\;&lt;br&gt;Dates: 9th - 14th September 2024 &amp;nbsp\;&lt;
 br&gt;Venue: Online Platform &amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Day 1: Introduction to AI and Sm
 art Cities&amp;nbsp\;&amp;nbsp\;&lt;br&gt;&amp;nbsp\; Overview of artificial intelligence an
 d its role in transforming urban infrastructure and services.&lt;/p&gt;\n&lt;p&gt;Day 
 2: &amp;nbsp\;Data in Smart Cities&amp;nbsp\;&amp;nbsp\;&lt;br&gt;&amp;nbsp\; Exploring data sou
 rces from sensors\, social media\, and public services\, and introduction 
 to data analysis with Python.&lt;/p&gt;\n&lt;p&gt;Day 3:&amp;nbsp\;Machine Learning Techni
 ques:&amp;nbsp\;&amp;nbsp\;&lt;br&gt;&amp;nbsp\; Practical applications of machine learning 
 for smart city solutions\, such as traffic management and predictive maint
 enance.&lt;/p&gt;\n&lt;p&gt;Day 4: &amp;nbsp\;&lt;br&gt;- Deep Learning for Smart Cities:&amp;nbsp\;
 &amp;nbsp\;&lt;br&gt;&amp;nbsp\; Overview of deep learning and its advanced applications
  in optimizing city resources and services.&lt;/p&gt;\n&lt;p&gt;Day 5:&amp;nbsp\; Project 
 Ideas and AI Solutions&amp;nbsp\;&amp;nbsp\;&lt;br&gt;&amp;nbsp\; Discussion of potential AI
 -driven projects and emerging research areas within smart city technology.
 &lt;/p&gt;\n&lt;p&gt;Day 6: &amp;nbsp\;Workshop Conclusion and Q&amp;amp\;A&amp;nbsp\;&amp;nbsp\;&lt;br&gt;&amp;
 nbsp\; Review of key learnings\, final Q&amp;amp\;A\, and feedback session.&lt;/p
 &gt;
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