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Learn efficient speech-to-intent techniques for MCUs, focusing on direct parsing of user utterances into actionable output. Explore model training, deployment, and testing on Wio Terminal.
Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.
Create an intelligent meteostation using Wio Terminal and TensorFlow Lite for Microcontrollers to predict weather and precipitation based on local environmental sensor data, with LVGL GUI integration.
Learn to implement people counting using TinyML on Wio Terminal, integrating ultrasonic sensors and Azure IoT Central for real-time monitoring and data visualization.
Learn to implement machine learning inference on Raspberry Pico 2040 using Edge Impulse, covering environment setup, sample data inference, sensor data processing, and porting details.
Learn to implement audio scene recognition on microcontrollers using TinyML, Arduino IDE, and Wio Terminal. Covers data collection, processing, model training, deployment, and mobile notifications with Blynk.
Introduction to TinyML on Wio Terminal: Learn to implement machine learning on microcontrollers using Arduino IDE, covering data gathering, processing, model training, and deployment.
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.
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