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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260102T042859Z
UID:FCD957D6-A47A-4E18-9E44-A33435E6F280
DTSTART;TZID=Asia/Kolkata:20251229T110000
DTEND;TZID=Asia/Kolkata:20251229T170000
DESCRIPTION:This outreach initiative\, supported by the IEEE Circuits and S
 ystems Society (CASS) Student Branch\, aims to create awareness and practi
 cal understanding of how AI-based smart systems can address real-world was
 te management challenges in local communities. The program bridges circuit
 s\, systems\, and AI technologies with sustainable waste practices\, enabl
 ing students to apply engineering solutions for social and environmental i
 mpact.\n\nThe initiative highlights low-cost sensing circuits\, embedded A
 I\, and data-driven systems for waste segregation\, monitoring\, and organ
 ic waste conversion. Through technical talks\, live demonstrations\, and c
 ommunity interaction\, students and participants explore scalable solution
 s that support circular economy models\, clean cities\, and UN Sustainable
  Development Goals (SDGs).\n\nThis activity strengthens student leadership
 \, technical skills\, and community engagement\, while promoting IEEE CASS
  values of innovation\, sustainability\, and humanitarian technology.\n\nC
 o-sponsored by: STB15921 - Vel Tech Dr. RR & Dr. SR R&D Inst of Sci and Te
 ch\n\nVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Tech
 nology\, Avadi\, Chennai\, Tamil Nadu\, India\, 600062
LOCATION:Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Te
 chnology\, Avadi\, Chennai\, Tamil Nadu\, India\, 600062
ORGANIZER:kalpanand77@gmail.com
SEQUENCE:4
SUMMARY:AI-Based Smart Systems for Sustainable Waste Practices in Local Com
 munities
URL;VALUE=URI:https://events.vtools.ieee.org/m/524965
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi
 fy\;"><span style="font-size: 14.0pt\; line-height: 115%\; font-family: 'T
 imes New Roman'\,serif\;">This outreach initiative\, supported by the IEEE
  Circuits and Systems Society (CASS) Student Branch\, aims to create aware
 ness and practical understanding of how AI-based smart systems can address
  real-world waste management challenges in local communities. The program 
 bridges circuits\, systems\, and AI technologies with sustainable waste pr
 actices\, enabling students to apply engineering solutions for social and 
 environmental impact.</span></p>\n<p class="MsoNormal" style="text-align: 
 justify\;"><span style="font-size: 14.0pt\; line-height: 115%\; font-famil
 y: 'Times New Roman'\,serif\;">The initiative highlights low-cost sensing 
 circuits\, embedded AI\, and data-driven systems for waste segregation\, m
 onitoring\, and organic waste conversion. Through technical talks\, live d
 emonstrations\, and community interaction\, students and participants expl
 ore scalable solutions that support circular economy models\, clean cities
 \, and UN Sustainable Development Goals (SDGs).</span></p>\n<p class="MsoN
 ormal" style="text-align: justify\;"><span style="font-size: 14.0pt\; line
 -height: 115%\; font-family: 'Times New Roman'\,serif\;">This activity str
 engthens student leadership\, technical skills\, and community engagement\
 , while promoting IEEE CASS values of innovation\, sustainability\, and hu
 manitarian technology.</span></p>\n<p class="MsoNormal" style="text-align:
  justify\;"><span style="font-size: 14.0pt\; line-height: 115%\; font-fami
 ly: 'Times New Roman'\,serif\;">&nbsp\;<img src="https://events.vtools.iee
 e.org/vtools_ui/media/display/b92fb0c3-d720-410c-8405-056f00fab58e"></span
 ></p>
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