Fitness Step Counter Kit with ESP32 + MPU6050
Build a Fitness Step Counter That Learns Your Gait — ESP32-S3 & MPU6050 AI Kit
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 an ESP32-S3 and an MPU6050 accelerometer into a wearable device that counts steps while classifying your gait pattern using an Edge Impulse machine learning model. It detects normal walking, imbalance that could lead to injury, or even bearing faults in rotating machinery — all from a single sensor board built with your own hands. This kit bridges fitness tracking and industrial IoT, giving you a real-world AI project that runs locally on the edge.
What You'll Build
A slim, battery-mountable step counter that logs timestamped steps on a microSD card and displays real-time classification on an OLED screen. The onboard AI model, trained with spectral features from 200 Hz motion data, distinguishes between balanced strides, limping, or mechanical vibration anomalies. Perfect for fitness tracking, rehabilitation monitoring, or a predictive maintenance proof-of-concept.
What You'll Learn
- Extract spectral features from 200 Hz accelerometer data for machine learning
- Train a gait classifier using Edge Impulse and deploy to ESP32-S3
- Interface MPU6050, DS3231 RTC, and 0.96in OLED via I2C
- Log timestamped step counts and classification results to a microSD card
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| M-F Wires | 20 |
| Micro USB Cable | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
CBSE Class 11-12 students demonstrating AI integration in their science exhibitions, B.Tech ECE/EEE learners building embedded ML projects for Smart India Hackathon, and ATL tinkering lab mentors introducing wearable health tech will find this kit directly applicable. Hobbyists curious about Edge Impulse or building a custom fitness tracker that goes beyond step counting get a practical, use-case-driven build.
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.
What if I get stuck during the build?
Scan the QR code inside the box to start a session with the AI companion — it has seen every step of this project and can walk you through issues in real time. You can also send a WhatsApp message to our support team for a direct reply within hours.
Can this kit be used for machine condition monitoring?
Yes, the same MPU6050 can be mounted on a motor housing to capture vibration patterns; the pre-trained Edge Impulse model already includes a bearing fault class. Simply repurpose the device by attaching it to rotating machinery and the AI will classify normal operation or bearing faults.
Do I need prior experience with Edge Impulse?
No. The kit includes a detailed guide to set up Edge Impulse, collect 200 Hz data, and train the spectral features model. The AI companion can also clarify each step, from feature extraction to model deployment on the ESP32-S3.
Will this work as a wearable fitness tracker?
Absolutely. Once assembled, the board can be placed in a protective case (not included) and strapped to your ankle. It logs steps with timestamps, classifies gait in real time, and stores all data on the microSD card for later analysis or integration into a fitness app.
Fitness — MPU6050 at 200Hz feeds Edge Impulse spectral features model. Classifies normal, imbalance or bearing fault.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items