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Explore machine learning on ESP32: object detection, image recognition, keyword spotting, time series data, and LLMs. Learn to implement AI using EdgeImpulse and Google TensorFlow Lite for Microcontrollers.
Explore building the Radxa Orion O6 into an AI mini PC, comparing Debian vs Armbian, testing Mesa Panfrost GPU drivers for llama.cpp and gaming with Vulkan/OpenGL support.
Explore the versatile Seeed Studio XIAO series of Arduino-compatible boards, comparing features and applications across different models from SAMD21 to the latest MG24.
Train a speech-to-intent model and deploy it for on-device inference on a Cortex-M4F microcontroller.
Build an on-device anomaly detector for predictive maintenance using Wio Terminal accelerometer data, neural network inference, and Blynk IoT monitoring.
Build a TinyML weather station that predicts precipitation from local sensor data on a Wio Terminal.
Build a people-counting TinyML model from sensor data, deploy it on a Wio Terminal, and connect it to Azure IoT Central.
Run a machine learning model on Raspberry Pi Pico using Edge Impulse, with inference on sample and sensor data plus a data-forwarder example.
Build and deploy an audio scene recognition model on a Wio Terminal microcontroller using Arduino IDE.
Build and deploy a TinyML gesture-recognition model on a Wio Terminal using Arduino IDE, from sensor-data collection through on-device testing.
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