Raspberry Pi Zero 2W Wine Cellar Climate Monitor Kit – Edge AI with DHT22 & MQTT Dashboard

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

Stable temperature and humidity are non-negotiable for preserving a wine collection. This kit turns a Raspberry Pi Zero 2W and a DHT22 sensor into an intelligent climate guard that runs a TensorFlow Lite model locally, predicts storage risks, and streams data to an MQTT dashboard — no cloud computing needed. Whether you manage a small cellar at home or want to demonstrate edge AI for a school project, you’ll have a fully working monitor that alerts you before conditions drift.

What You'll Build

A compact monitor that sits inside your wine storage area, sampling temperature and humidity every few seconds. The Pi Zero 2W processes readings on-device with a pre-trained TFLite model that flags patterns that could spoil wine. All values and alerts are published via MQTT to a web dashboard you can open on any phone or laptop connected to the same Wi-Fi network. The system learns locally, never depends on an internet connection, and helps you maintain the ideal 12–16°C and 60–70% humidity band wine demands.

What You'll Learn

• Connect a DHT22 temperature/humidity sensor to the Raspberry Pi GPIO header
• Load and run a TensorFlow Lite model on a low-power Pi Zero 2W to classify climate state
• Set up an MQTT client on the Pi and publish sensor data to a cloud or local broker
• Interpret model inference results and trigger dashboard alerts for storage anomalies

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11–12 students and B.Tech ECE/EEE undergraduates building IoT mini-projects will find this a practical introduction to edge AI without needing Python expertise. Wine hobbyists who want a smarter cellar monitor can skip the tinkering forums and get straight to reliable sensing. ATL Tinkering Labs can use it to demonstrate real-time machine learning on low-cost hardware.

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.