ESP32-S3 TinyML Predictive Maintenance — Build an AI-Powered Vibration Anomaly Detector with Edge Impulse

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Turn vibration patterns into early warnings for rotating machinery. With this kit, you’ll train a neural network on the Edge Impulse platform and deploy it to an ESP32-S3 that monitors a motor in real time, lighting up an alert the instant it detects abnormal vibration—before a failure causes downtime. It’s predictive maintenance you can hold in your hand.

What You'll Build

You’ll assemble a compact sensor node that listens to vibrations from a fan, pump, or motor. The ESP32-S3 continuously analyzes the accelerometer stream, running a TensorFlow Lite model that classifies normal operation vs. anomalous patterns. When a fault signature appears, the red LED and piezo buzzer trigger an immediate alert, creating a complete edge AI alerting system.

What You'll Learn

• Train an anomaly detection model in Edge Impulse using real vibration data from the ADXL345
• Deploy a TensorFlow Lite micro model onto the ESP32-S3 for on-device inference
• Interface the ADXL345 over I2C and process raw vibration signals into meaningful features
• Build a full TinyML pipeline from data collection and model training to real-time hardware alerting

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Engineering students working on B.Tech ECE/EEE final-year projects or Smart India Hackathon prototypes will find the predictive maintenance use-case directly applicable. Advanced ATL Tinkering Lab participants and hobbyists preparing for VIT, IIT, or NIT tech fests can demonstrate edge AI on real industrial data. If you’ve already explored basic Arduino and want to step into TinyML, this intermediate kit bridges the gap.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.