Experience hands-on machine learning with this XIAOML Kit designed to complement Professor Vijay Janapa Reddi 's textbook "Machine Learning Systems". Powered by the XIAO ESP32-S3 Sense with built-in camera and microphone, this comprehensive kit includes an expansion board featuring a 6-axis IMU and 0.42" OLED display, plus an SD card toolkit for data storage. Perfect for students, educators, and developers, the kit enables you to build practical applications in vision, sound, and motion through tinyML lab sessions developed with Marcelo Rovai (UNIFEI). Create real-world projects ranging from image classification and object detection to keyword recognition and movement analysis. Specification: MCU: XIAO ESP32-S3 Sense Onboard Sensors: OV3660 Camera, Digital Microphone Wireless Connectivity: Wi-Fi, BLE SD Card Reader Display: Driver IC: SSD1315, 0.42-Inch OLED IMU: Chip: LSM6DS3TR-C, Type: 6DOF Button: Reset Power Supply: Type-C or 3.7V Battery Connector Application Computer Vision: Image Classification & Object Detection Keyword Detection Motion Detection Wearable devices Health monitoring Education Color: Black Material: PCB Package Contents: 1*XIAOML Kit