ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED
Build a Custom Voice-Controlled Smart Device with the ESP32-S3 On-Device Wake Word Training 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.
Imagine saying a custom word like "Compoden" and your desk lamp turns on. This kit puts you in control of voice activation: capture audio samples, train a neural network in Edge Impulse, and deploy it to an ESP32-S3 that recognizes your wake word entirely offline—no cloud, no latency. You’ll build a functional embedded AI device that responds instantly to your voice.
What You'll Build
You'll assemble a compact voice-activated unit that listens for a unique wake word you define. When recognized, it illuminates an LED and shows a confirmation on the OLED screen. The ESP32-S3 continuously runs a TensorFlow Lite model on-device, proving real‑time keyword spotting without any internet dependency.
What You'll Learn
- Capture and preprocess audio data using the I2S INMP441 microphone
- Design a neural network for keyword spotting in Edge Impulse
- Deploy a TensorFlow Lite model to an ESP32-S3 for on-device inference
- Integrate audio detection with visual feedback on an OLED display and LED output
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| INMP441 I2S Mic | 1 |
| 0.96in OLED | 1 |
| 5mm LED | 3 |
| 4.7kΩ Resistors | 5 |
| 100nF Capacitors | 5 |
| PCB Prototype Board | 2 |
| 5V 2A Power Supply Unit | 1 |
| Enclosure Box | 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 ideal for B.Tech ECE/EEE students working on voice‑based IoT projects, participants in Smart India Hackathon building assistive technologies, and hobbyists exploring edge ML. It aligns with university curriculum on embedded AI and provides hands‑on experience with model training and deployment—skills highly valued in Indian engineering careers.
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 access the AI build companion trained on this exact kit. It provides step-by-step troubleshooting, and you can also reach us via WhatsApp for direct engineer support.
Do I need prior experience with machine learning?
No. The kit guides you through Edge Impulse's user‑friendly interface, and our AI companion explains each concept. Basic familiarity with Arduino IDE is helpful but not required.
Can I train a wake word in my own language?
Absolutely. Edge Impulse supports custom audio samples in any language. You'll record your own wake word and use the same pipeline to train and deploy it.
What if the soldering iron is defective?
All Compoden components are tested before shipping. If you encounter a manufacturing defect, we'll replace it free within 7 days. Just contact us via the WhatsApp number included in the box.
Edge Impulse trains a custom wake word model on captured audio samples. Deployed to S3 for offline detection.
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