Learn how to implement anomaly detection for predictive maintenance using the Wio Terminal and Blynk IoT Platform in this 21-minute tutorial. Explore the process of collecting accelerometer data, performing on-device neural network model inference, and integrating with the latest version of Blynk. Discover techniques for data collection, processing, and model training using Edge Impulse. Follow along as the instructor demonstrates model testing with LCD screen output, Blynk integration, and WiFi manager functionality. Gain practical insights into combining Edge Impulse and Blynk for real-world TinyML applications in predictive maintenance.