ESP32-S3 Wake Word Detection Kit — Deploy On-Device Voice AI That Listens 24/7

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

You are about to build a voice-triggered alert system that wakes at your command — no cloud, no latency. The ESP32-S3 dev board runs a TensorFlow Lite Micro speech model that constantly listens through the INMP441 I2S microphone. When you say the wake word, it lights an LED and sounds a piezo buzzer, all within the chip’s low-power always-on pipeline. Perfect for demonstrating how edge AI replaces cloud-dependent voice assistants in home automation, industrial monitoring, or assistive technology projects.

What You'll Build

By the end of this project, you’ll have a standalone keyword spotter that responds to your voice in real time. The system processes audio on-device, classifies the input as wake word or background, and toggles outputs instantly. You’ll understand how to deploy a trained speech model on a microcontroller and get hands-on with the entire edge AI workflow, from audio capture to inference.

What You'll Learn

• Capture high-quality audio using an I2S digital microphone and configure the ESP32-S3’s I2S peripheral
• Train a custom wake word model with TensorFlow Lite Micro and convert it into a flatbuffer for embedded deployment
• Implement an always-on inference loop that runs continuously at low power without draining the battery
• Integrate hardware feedback — LEDs and a buzzer — to create responsive voice user interfaces

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE and EEE students will find this kit directly relevant for final-year projects, internships, and embedded AI coursework. CBSE Class 12 students exploring IoT and AI integration in computer science can use it for practical submissions and ATL Tinkering Lab demonstrations. Smart India Hackathon teams and participants from IITs, NITs, VIT, and BITS Pilani prototyping voice-driven solutions will get a ready-made edge AI stack that slashes development time.

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.