Sport Form Coach Plus Kit with ESP32 + MPU6050
Sport Form Coach Plus Kit: Build a Wearable Motion Classifier with ESP32 & MPU6050
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a device strapped to your arm that knows whether you are walking, running, or standing idle—and logs your activity in real time. With the Sport Form Coach Plus Kit, you’ll build exactly that: a wearable motion classifier powered by an ESP32-S3 and an MPU6050 inertial sensor. Using Edge Impulse, you’ll train a TensorFlow Lite model that runs entirely on the microcontroller, classifying movement with zero cloud dependency.
What You'll Build
You’ll assemble a compact prototype that captures acceleration and gyroscope data, processes it through a machine learning model on-device, and displays your current activity (walking, running, idle) on a crisp OLED screen. This isn’t a simulation—it’s a real-time sports form coach that you can wear on your wrist or clip to your belt while training. The OLED updates instantly as your motion changes, giving you immediate feedback on your form.
What You'll Learn
- Interface the MPU6050 accelerometer/gyroscope with an ESP32-S3 and read raw motion data over I2C
- Design and capture labeled training datasets for walking, running, and idle states
- Train a machine learning classifier in Edge Impulse and deploy a TensorFlow Lite model directly on the ESP32-S3
- Build a real-time on‑device inference pipeline with live activity readout on an OLED screen
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Capacitors | 5 |
| 400-pt Breadboard | 1 |
| Male-to-Male Jumper Wires | 20 |
| Micro USB Cable | 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
This kit is ideal for CBSE Class 11-12 students exploring sensor-based projects for their board practicals, B.Tech ECE/EEE undergraduates building Edge AI prototypes for Smart India Hackathon, or ATL Tinkering Lab mentors looking for a hands-on introduction to embedded machine learning. If you’re a sportsperson curious about how wearables work, this kit gives you a working model you can refine further.
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 on the box to open the AI companion, which guides you step by step. You can also message us on WhatsApp for a human backup.
Can I use this kit to classify other activities like jumping or skipping?
Absolutely. Once you understand the data collection workflow, you can capture new motion patterns, retrain the model in Edge Impulse, and deploy it again for any activity you want.
Do I need prior machine learning experience?
No. The kit includes a guided walkthrough for Edge Impulse that takes you from data capture to a working TFLite model, even if you’ve never trained a neural network before.
Does this kit support battery power for wearing during sports?
The ESP32-S3 can run from a USB power bank, and you can easily add a LiPo battery with an external charger—making it fully wearable while you walk or run.
Sports — MPU6050 feeds Edge Impulse TFLite model on ESP32-S3 classifying walking, running and idle states.
What's in this kit
- ESP32-S3 Dev Board
- MPU6050
- 0.96in OLED
- 4.7kΩ Resistors x5
- 100nF Caps x5
- 400-pt Breadboard
- M-M Wires x20
- Micro USB Cable
Other projects you can build
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