About This workshop
This intensive workshop guides participants through building a complete environmental monitoring system utilizing Edge AI. Attendees will get hands-on experience with popular microcontrollers like ESP32 or Raspberry Pi Pico, integrating various sensors (temperature, humidity, air quality). The curriculum covers model training for anomaly detection on sensor data, deploying optimized TinyML models directly to edge devices, and basic data visualization techniques. By the end of the day, each participant will have a functional smart monitor prototype, capable of collecting and locally processing environmental data, opening doors to advanced IoT applications in smart cities and sustainable tech.
