Bird Call Identifier Plus Kit with ESP32 + LED
Identify Bird Calls Instantly with the ESP32 Bird Call Identifier Plus 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.
Step into the field with a portable device that listens to the wilderness and tells you which bird is calling—all without an internet connection. This kit combines an INMP441 microphone with an ESP32-S3 running a custom Edge Impulse machine learning model to classify four distinct bird sounds in real time. It's a hands-on introduction to edge AI and acoustic monitoring, perfect for student researchers, hobbyist naturalists, and anyone curious about India's avian diversity.
What You'll Build
You'll assemble a battery-powered gadget that captures audio through the I2S mic, processes it through a neural network on the ESP32-S3, and instantly displays the bird species name on an OLED screen. A WS2812B LED strip lights up in a unique color for each class—making identification intuitive even from a distance. Use it on dawn bird surveys, at school science fairs, or as a backyard curiosity station that runs entirely offline.
What You'll Learn
- Deploying a machine learning model on an ESP32-S3 using Edge Impulse, including audio preprocessing and classification
- Designing an I2S microphone interface with the INMP441 for high-quality sound capture
- Interfacing a 0.96-inch OLED display via I2C and rendering dynamic text output
- Controlling WS2812B addressable LEDs to create visual feedback linked to classification results
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| INMP441 I2S Mic | 1 |
| 0.96in OLED | 1 |
| WS2812B 4-LED Strip | 1 |
| 470Ω Resistors | 5 |
| 4.7kΩ Resistors | 5 |
| 400-pt Breadboard | 1 |
| M-M 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
CBSE Class 11–12 students tackling investigatory projects in AI or environmental science will find it directly aligned with board requirements. B.Tech ECE/EEE undergraduates can use it to demonstrate edge AI in their minor/major projects, including Smart India Hackathon prototypes. ATL Tinkering Labs and wildlife clubs get an engaging, offline-ready tool for real-world acoustic monitoring—perfect for field trips and biodiversity hackathons.
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?
Open the AI companion from the QR code on the box, or message us on WhatsApp. It will walk you through the exact wiring and code for this kit.
Do I need a constant internet connection to use the bird identifier?
No. Once you've uploaded the trained model to the ESP32-S3, the device runs completely offline—only a one-time upload is needed.
Can I train the device to recognize sounds other than bird calls?
Yes, the Edge Impulse workflow is open. You can record your own audio samples of any four sound classes and retrain the model.
Is this suitable for a school science exhibition?
Absolutely. The short build time, visual LED feedback, and direct applicability to wildlife research make it a standout exhibit.
Wildlife Research — INMP441 mic + Edge Impulse sound classifier runs on ESP32-S3. Identifies 4 sound classes without cloud.
What's in this kit
- ESP32-S3 Dev Board
- INMP441 I2S Mic
- 0.96in OLED
- WS2812B 4-LED Strip
- 470Ω Resistors x5
- 4.7kΩ Resistors 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