Federated IoT Node with Local Inference
Build a Federated IoT Node with ESP32: Edge AI with Local Inference & MQTT
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 kit puts you at the frontier of distributed machine learning. You will build an ESP32-powered IoT node that collects real‑world sensor data, executes a locally trained linear model for inference, and periodically sends only the model update deltas – not raw data – to a central server over MQTT. It is a genuine federated learning architecture, running entirely on a microcontroller. Engineers, researchers, and serious makers get a hands‑on path from breadboard to a field‑ready node that balances privacy, bandwidth efficiency, and on‑device intelligence.
What You'll Build
A fully enclosed IoT node equipped with dual temperature/humidity sensors, a 6‑axis motion sensor, and a current monitor. The ESP32 ingests the streams, fires inference on demand, and logs the results with micro‑second timestamps to a microSD card. A 0.96‑inch OLED shows real‑time status. The node uses an MQTT client to share lightweight model parameter updates – not sensor readings – so privacy is built in. Once assembled, it’s a deployable edge device ready for pilot projects in industrial monitoring, smart agriculture, or distributed anomaly detection.
What You'll Learn
- Train a linear regression model on‑device and run inference over streaming sensor data
- Implement a complete federated learning loop: local training, delta computation, and MQTT model aggregation
- Interface I2C, analog, and one‑wire sensors (DHT22, MPU6050, ACS712) with the ESP32
- Design a power‑managed, time‑keeping IoT node with RTC, SD logging, and OLED diagnostics
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| DHT22 | 2 |
| MPU6050 | 1 |
| ACS712 5A | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 0.96in OLED | 1 |
| 100nF Caps | 10 |
| 4.7kΩ Resistors | 10 |
| PCB Prototype Board | 3 |
| Enclosure Box | 1 |
| 5V 2A PSU | 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 built for advanced makers, researchers, and engineers pushing into edge AI. It’s an ideal choice for M.Tech and Ph.D. candidates at IITs, NITs, VIT, and BITS who are prototyping federated learning systems, Smart India Hackathon teams tackling decentralized intelligence, and R&D professionals in IoT startups who need a self‑contained node for on‑device inference with model updates. If you have some experience with Arduino or ESP32 and are ready to move from basic sensors to real machine learning on a microcontroller, this kit was designed for you.
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?
The AI companion walks you through every connection and code setup. If you need human help, our WhatsApp support responds within hours.
Do I need a central MQTT server?
The code supports any standard MQTT broker, including public test brokers. We provide configuration examples for Mosquitto and cloud‑based options, and the companion explains how to set up a local broker if required.
Can I replace the linear model with a different algorithm?
Absolutely. The ESP32 firmware is fully open. You can adapt it to run logistic regression, small decision trees, or custom lightweight models. The AI companion includes guidelines for switching training logic.
Is soldering required, and is it hard?
You’ll need to solder headers onto the sensor modules and a few board connections. The kit includes a soldering iron and solder. Our companion shows close‑up steps, and it’s straightforward for anyone with basic soldering experience.
ESP32 runs locally trained linear model on sensor data. Periodically pushes model update deltas to central server via MQTT.
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