Wine Cellar Climate Monitor Kit with ESP32 + DHT22 v16
Wine Cellar Climate Monitor Kit – Real-Time TFLite Classification and Explainable AI on ESP32
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
For serious wine collectors, a stable microclimate is everything. This kit lets you build a smart monitor that not only classifies cellar conditions on-device using a TensorFlow Lite model, but also explains why the model made that call—on a bright TFT screen, in real time. It’s not just monitoring; it’s transparent edge intelligence for your collection.
What You'll Build
You’ll assemble and program a battery of sensors—temperature, humidity, vibration, and 3-axis motion—around an ESP32. The device runs a trained TFLite classifier that takes fused sensor readings and predicts whether your wine cellar is in an optimal state, at risk of heat or humidity spikes, or experiencing vibration from nearby machinery. Right below the classification, a LIME-style bar chart lights up on the 2.4-inch ILI9341 display, highlighting exactly which sensor features drove that decision. Perfect for quickly spotting a faulty cooling unit or a loose rack before a single bottle is compromised.
What You'll Learn
- Deploy a pre-trained binary classification model directly on an ESP32 using TensorFlow Lite for Microcontrollers
- Fuse data streams from a DHT22 (temperature/humidity), ADXL345 (vibration), and MPU6050 (3-axis motion) in real time
- Implement local interpretability: compute per-feature importance scores using a LIME-style algorithm running on the microcontroller
- Render classification labels and live-updating bar charts on a 2.4-inch ILI9341 TFT panel from simple draw calls
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| ADXL345 Accel | 1 |
| DHT22 | 1 |
| MPU6050 | 1 |
| 2.4in TFT ILI9341 | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 5 |
| PCB Prototype Board | 2 |
| 5V 2A PSU | 1 |
| Enclosure Box | 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 advanced kit is aimed at B.Tech and M.Tech students in ECE, EEE, CSE, or AI from IIT, NIT, VIT, or BITS Pilani who want a rigorous edge-AI project for Smart India Hackathons or final-year portfolios. It’s equally suited for wine collectors and restaurant owners who need an explainable, self-contained monitor that goes beyond a simple data logger. If you’ve already done a basic ESP32 sensor tutorial and are ready to ship a real ML model to silicon, this is your next build.
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?
Scan the QR code to launch the AI companion, which has full troubleshooting flows for every assembly step. You can also send a photo of your setup on WhatsApp, and a real engineer will help you debug—usually within an hour.
Do I need prior TensorFlow Lite experience?
No. The kit includes a ready-to-flash TFLite model and a detailed walkthrough. If you know basic Arduino or ESP-IDF, you’ll learn how to integrate inference, and the pre-built model gives you immediate results while you explore the source code.
How do I calibrate the classifier for my own wine cellar?
The AI companion guides you through collecting a few minutes of baseline data. You can then re-train the model with your labelled samples—the guide covers the full retraining pipeline for custom thresholds.
Can this kit be repurposed for monitoring server rooms or labs?
Yes. The sensor fusion and on-device LIME reasoning are environment-agnostic. Simply swap the training data, adjust the alert thresholds, and the same TFT bar chart will explain any climate anomaly you care about.
Wine Storage — TFLite classifier on ESP32. LIME-style local explanation visualised as bar chart showing feature importance.
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.
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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