Pi Zero 2W Edge Inference MQTT Gateway Kit with Raspberry Pi Zero 2W + DHT22
Build an Edge AI MQTT Gateway with Raspberry Pi Zero 2W – Complete 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.
Transform a Raspberry Pi Zero 2W into an edge inference device that runs a TensorFlow Lite model locally. Read environmental data from the DHT22 sensor, process it with a tiny machine learning model right on the Pi, and publish the inference results to an MQTT broker. You’ll build your first working bridge from on-device AI to a live IoT dashboard—exactly what smart factories, weather stations, and remote monitoring systems use today.
What You'll Build
You’ll assemble a compact gateway that samples temperature and humidity from the DHT22, feeds the readings into a pre-trained TFLite model, and pushes the predicted class or anomaly flag to any MQTT client. View the output on a smartphone dashboard app, a laptop, or even integrate it with Node-RED for alerts. It’s a production-grade pattern, made accessible with clear step‑by‑step guidance.
What You'll Learn
- Headless setup of Raspberry Pi Zero 2W and remote SSH access
- Wiring and reading DHT22 sensor data with Python
- Running TensorFlow Lite inference at the edge—using a model trained for environmental data
- Publishing and subscribing to MQTT topics, and building a real‑time monitoring pipeline
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi Zero 2W | 1 |
| DHT22 | 1 |
| MicroSD Card 16GB | 1 |
| Micro USB Cable | 1 |
| Male-to-Male Jumper Wires | 10 |
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
Designed for CBSE Class 11–12 students diving into AI and IoT, B.Tech ECE/EEE first‑years building mini projects, Smart India Hackathon teams prototyping sensor‑to‑cloud systems, and ATL Tinkering Lab mentors who need a ready‑made edge AI kit. It assumes no prior machine learning experience—just curiosity and a laptop.
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?
Our AI build companion, triggered by a QR code, walks you through each connection and script. You can also message us on WhatsApp for real‑time help from a human.
Do I need any prior machine learning experience?
Not at all. The kit includes a pre‑trained TFLite model that runs immediately. The companion explains how the model interprets sensor data, and later you can retrain it with your own data.
What MQTT broker should I test with?
Start with the free public broker test.mosquitto.org. The guide also shows how to set up your own Mosquitto broker on a PC or a cloud instance, making your project truly stand‑alone.
Can I swap the sensor or use a custom ML model?
Absolutely. After building the base project, the AI companion will guide you through replacing the DHT22 with any analog/digital sensor and deploying a model you train in Google Colab—ideal for hackathon customizations.
Pi Zero 2W runs TFLite model locally and publishes inference results to MQTT — bridges edge AI to IoT dashboard.
What's in this kit
- Raspberry Pi Zero 2W
- DHT22
- MicroSD Card 16GB
- Micro USB Cable
- M-M Wires x10
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