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Sport Form Coach Kit v3
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Sport Form Coach Kit v3

SKU: CDN-KIT-3987 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 1,550.00
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Sport Form Coach Kit v3: Your Wearable AI Coach for Perfect Sports Gestures

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

Difficulty: Beginner Build Time: 3-4 hrs Age: 15-18 Skill: Embedded Machine Learning

In sports like cricket, tennis, or badminton, a single flawed movement can be the difference between a win and a loss. Coaches spend years spotting those micro-errors by eye. This kit lets you bring that same scrutiny to your own practice—using a tiny, wrist-worn device that watches your every motion and tells you exactly which gesture you just performed.

What You'll Build

You'll assemble a wearable module powered by an ESP32 and an MPU6050 accelerometer. An on-device TensorFlow Lite Micro model classifies the accelerometer patterns into specific gestures (like a cover drive, a smash, or a topspin shot) and publishes the label over MQTT. A small OLED screen displays live IMU data and the current classified gesture. The device is fully self-contained—no phone or laptop needed during practice—and the MQTT broker lets you log hundreds of reps for later analysis.

What You'll Learn

  • Capture and stream 6-axis motion data from an MPU6050 IMU
  • Train a TensorFlow Lite Micro model for gesture classification
  • Deploy the model on an ESP32 microcontroller for real-time inference
  • Publish classified gesture labels to an MQTT broker for logging and review

Kit Contents

Component Quantity
ESP32 Dev Board 1
MPU6050 IMU 1
0.96in OLED 1
MicroUSB Cable 1
M-M Wires 15

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

Ideal for students preparing for CBSE Class 11-12 CS projects, B.Tech ECE or CSE early-year labs, and participants of Tinkering Labs and Smart India Hackathon. Sports enthusiasts who want to add data-driven feedback to their training will find an immediate hands-on project here. No prior machine learning experience is needed—the build starts from first principles.

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 to talk to the AI companion trained on this kit; it can debug wiring, code, and model errors. For tricky situations, our WhatsApp support team typically responds within a few hours.

Do I need any prior machine learning knowledge?

No. The guided build includes a ready-to-modify TFLite Micro model and explains every step from data capture to deployment on the ESP32.

Can I train the device for my own sports gestures?

Absolutely. The included Python script lets you record your own motion datasets, retrain the model, and flash it onto the ESP32. Common customisations are for cricket shots, tennis serves, and badminton smashes.

How do I see the gesture labels after a training session?

Labels are published to an MQTT broker that you can monitor from any device on the same Wi‑Fi network. A simple subscriber script (provided) logs all gestures with timestamps for review.

Sports — TFLite Micro gesture classifier on ESP32 reads MPU6050 accelerometer data and publishes gesture labels to MQTT broker.

What's in this kit

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

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