Smart embedded systems with edge AI, Yugam 2026

YUGAM 2026
Yugam is the annual techno-cultural fest of Kumaraguru Institutions, bringing together innovation, technology, creativity, and talent from students across the country. It serves as a platform where young minds explore futuristic ideas, compete in challenging events, attend expert workshops, and connect with industry professionals.
Yugam features: ✨ Technical competitions
🚀 Workshops by industry experts
🧠 Hackathons and problem-solving challenges
🎭 Cultural events and performances
🤝 Networking with innovators and leaders
With thousands of participants every year, Yugam 2026 aims to inspire students to learn, build, collaborate, and push the boundaries of technology and creativity.

The workshop Smart Embedded Systems with Edge AI is designed with a strong emphasis on hands-on learning, where students will practically implement Artificial Intelligence on STM32 microcontroller boards rather than learning embedded concepts only at a theoretical level.
The key focus of the workshop is how AI models are deployed and executed directly on STM32 hardware, enabling real-time intelligent decision-making using sensor data.
Participants will work with actual STM32 development tools to understand how data such as voltage, current, temperature, or motion is processed and analyzed locally using Edge AI techniques.
Through guided practical sessions, live demonstrations, and industry-inspired use cases, students will experience the complete workflow of AI on STM32 from data understanding and model integration to real-time inference on hardware.
This approach ensures that students clearly understand why STM32 is used for Edge AI and how intelligence is built inside the controller itself, aligning closely with current industry practices.
The workshop bridges core electronics knowledge with applied AI on STM32 platforms, preparing students for future roles in embedded AI, IoT systems,and industrial automation.

Check at https://yugam.in/ for other events

Mr. Prajwal K P– Embedded Application Engineer, DigiToad Technologies
Mr. Prajwal works as an Embedded Application Engineer at DigiToad Technologies, where he focuses on embedded systems, AI-driven IoT solutions, and advanced technology development for research and industry applications. He works closely with modern hardware and software platforms to build practical engineering solutions and support innovation in emerging technologies.

The workshop "Smart Embedded Systems with Edge AI" is designed with a strong emphasis on hands-on learning, where students will practically implement Artificial Intelligence on STM32 microcontroller boards rather than learning embedded concepts only at a theoretical level.
The key focus of the workshop is how AI models are deployed and executed directly on STM32 hardware, enabling real-time intelligent decision-making using sensor data.
Participants will work with actual STM32 development tools to understand how data such as voltage, current, temperature, or motion is processed and analyzed locally using Edge AI techniques.
Through guided practical sessions, live demonstrations, and industry-inspired use cases, students will experience the complete workflow of AI on STM32 from data understanding and model integration to real-time inference on hardware.
This approach ensures that students clearly understand why STM32 is used for Edge AI and how intelligence is built inside the controller itself, aligning closely with current industry practices.
The workshop bridges core electronics knowledge with applied AI on STM32 platforms, preparing students for future roles in embedded AI, IoT systems,and industrial automation.

Check at https://yugam.in/ for other events

Limited seats available! Hurry up!

₹400/head

Chinnavedampatti, Saravanampatty, Coimbatore, Tamil Nadu 641049

https://yugam.in/users/#accommodation