Fitness Step Counter Pro Kit with ESP32 + MPU6050
Fitness Step Counter Pro Kit with ESP32-S3: Build an AI-Powered Fall Detection & SOS Wearable
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This advanced kit lets you build a fully functional fitness tracker that goes beyond counting steps. You’ll fuse MPU6050 motion data, MAX30102 SpO2 readings, and GPS location to train an on-device TensorFlow Lite model on the ESP32-S3, capable of distinguishing between a fall and normal activity. If a fall occurs, the onboard GSM module automatically sends an SOS alert with GPS coordinates, making it a life-saving wearable for elderly care or high-risk activities.
What You'll Build
You’ll build a wristband wearable that tracks daily steps, measures blood oxygen saturation (SpO2), logs GPS trails, and runs a real-time AI model to detect falls. The OLED screen shows stats and alerts. In case of a fall, it triggers an SMS with location to a preset number. By the end, you’ll have a functional prototype that demonstrates edge AI and IoT capabilities for health monitoring.
What You'll Learn
- Sensor fusion with MPU6050 accelerometer/gyroscope and MAX30102 pulse oximeter for motion and vitals
- Training and deploying a TensorFlow Lite model on ESP32-S3 to classify activities (fall vs. normal)
- Interfacing GPS (NEO-6M) and GSM (SIM800L) for real-time tracking and emergency SMS alerts
- Designing a power-efficient wearable with LiPo battery, buck converter, and safe charging circuit
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| MAX30102 | 1 |
| NEO-6M GPS | 1 |
| SIM800L GSM | 1 |
| LM2596 Buck Converter | 1 |
| 3.7V LiPo 1000mAh | 1 |
| TP4056 Module | 1 |
| 0.96in OLED | 1 |
| 1000µF 25V Capacitor | 2 |
| 100nF Capacitor | 10 |
| PCB Prototype Board | 2 |
| Velcro Wristband | 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
This kit is designed for final-year B.Tech (ECE/EEE) students working on health-tech capstone projects, participants of Smart India Hackathon focusing on wearable IoT, and makers aiming to build an AI-driven fall detection system. It’s also ideal for IIT, NIT, VIT, or BITS Pilani students exploring edge AI in healthcare applications. Hobbyists with intermediate to advanced soldering and coding experience will find the fusion of multiple sensors and a TFLite model deeply rewarding.
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?
Our AI build companion, trained on this project, can answer questions instantly. If you need human help, WhatsApp us and we’ll guide you within hours.
Does the kit include a SIM card for GSM?
No, you'll need a standard 2G SIM card with SMS capability to send SOS alerts. Any local provider works.
Can I use this for a college project submission?
Absolutely. The kit comes with complete documentation and code, making it suitable for academic submissions in B.Tech programs or IEEE papers.
How accurate is the fall detection?
The on-device TFLite model achieves over 90% accuracy in controlled tests, distinguishing falls from walking, running, or sitting down. You can further tune it with your own data.
Fitness — MPU6050 + MAX30102 SpO2 + GPS fused by ESP32-S3 TFLite model. Classifies fall vs normal activity. GSM SOS.
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