BEGIN:VCALENDAR VERSION:2.0 PRODID:-//KnowAFest//Campus Events//EN BEGIN:VEVENT UID:eventsphere-65253@www.knowafest.com DTSTAMP:20261008T154627Z DTSTART:20260303T183000Z DTEND:20260304T182959Z SUMMARY:Smart embedded systems with edge AI\, Yugam 2026 LOCATION:Kumaraguru College of Technology\, Coimbatore DESCRIPTION:

YUGAM 2026
\nYugam is the annual techno-cultural fest o f Kumaraguru Institutions\, bringing together innovation\, technology\, cr eativity\, and talent from students across the country. It serves as a pla tform where young minds explore futuristic ideas\, compete in challenging events\, attend expert workshops\, and connect with industry professionals .
\nYugam features: ✨ Technical competitions
\n🚀 Workshops by industry experts
\n🧠 Hackathons and problem-solving challenges< br />\n🎭 Cultural events and performances
\n🤝 Networking with i nnovators and leaders
\nWith thousands of participants every year\, Y ugam 2026 aims to inspire students to learn\, build\, collaborate\, and pu sh the boundaries of technology and creativity.
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\nThe worksho p Smart Embedded Systems with Edge AI is designed with a strong emphasis o n hands-on learning\, where students will practically implement Artificial Intelligence on STM32 microcontroller boards rather than learning embedde d concepts only at a theoretical level.
\nThe key focus of the worksh op is how AI models are deployed and executed directly on STM32 hardware\, enabling real-time intelligent decision-making using sensor data.
\n Participants will work with actual STM32 development tools to understand h ow data such as voltage\, current\, temperature\, or motion is processed a nd analyzed locally using Edge AI techniques.
\nThrough guided practi cal sessions\, live demonstrations\, and industry-inspired use cases\, stu dents will experience the complete workflow of AI on STM32 from data under standing and model integration to real-time inference on hardware.
\n This approach ensures that students clearly understand why STM32 is used f or Edge AI and how intelligence is built inside the controller itself\, al igning closely with current industry practices.
\nThe workshop bridge s core electronics knowledge with applied AI on STM32 platforms\, preparin g students for future roles in embedded AI\, IoT systems\,and industrial a utomation.

URL:https://www.knowafest.com/smart-embedded-systems-with-edge-ai-yugam-202 6 END:VEVENT END:VCALENDAR