About This workshop
This intensive hands-on workshop will equip participants with the skills to design and implement Edge AI solutions specifically tailored for enhancing urban green infrastructure. Attendees will learn the fundamentals of sensor integration, data collection from environmental parameters like air quality and soil moisture, and the process of training and optimizing machine learning models for resource-constrained edge devices. We will cover popular frameworks for TinyML deployment, practical coding exercises using microcontrollers, and strategies for power-efficient data processing. The session culminates in a project where participants deploy a functional Edge AI system designed to monitor and provide actionable intelligence for a simulated urban park environment, fostering sustainable smart city development.
