Sport Form Coach Pro Kit with ESP32 & MPU6050: Build an AI Vibration Classifier for Gym Equipment

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

Every spin of a treadmill motor tells a story — and now you can teach an ESP32 to read it. This kit turns a standard MPU6050 accelerometer into a self-contained vibration classifier that distinguishes normal hum from the early rumble of a failing bearing. You'll mount the sensor on any gym machine, acquire live motion data, and let the on-device Edge Impulse model decide: green LED for smooth operation, red LED and an OLED warning when trouble is brewing. It's a real-world AI project that moves the smart factory concept right into your school's sports room.

What You'll Build

You'll assemble a compact monitoring module around the ESP32-S3 Dev Board and MPU6050, wire the OLED and status LEDs, then flash a pre-trained TensorFlow Lite model that instantly classifies vibration signatures. The system powers over USB, reads acceleration every 20 ms, and updates the OLED with classification confidence. It’s a complete edge AI pipeline — from sensor to insight — that you can deploy on treadmills, exercise bikes, or even a cricket bowling machine.

What You'll Learn

• Capture high-frequency vibration data from an MPU6050 and label it for normal vs. faulty patterns
• Train and export a binary classifier directly in Edge Impulse without writing complex ML code
• Deploy a TensorFlow Lite model on an ESP32-S3 and run inferences entirely on-device
• Visualize real-time classification results on an SSD1306 OLED display alongside LED indicators

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11–12 students exploring AI and IoT will find a ready-made investigatory project that aligns with the new skill subjects. B.Tech ECE and EEE undergraduates can prototype a predictive maintenance system for gym equipment or Smart India Hackathon ideas. ATL Tinkering Labs and IIT/NIT/VIT/BITS clubs looking for an AI+hardware workshop module will appreciate the structured on-ramp to Edge Impulse and sensor fusion — no prior ML experience assumed.

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.