Wine Cellar Climate Monitor Kit v23
Wine Cellar Climate Monitor Kit v23 — Causal Inference on Raspberry Pi 5
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Wine collectors know that temperature, humidity, and vibration can degrade a cellar’s contents in subtle, cascading ways. With this kit, you’ll deploy an IoT sensor network across your cellar and use the DoWhy library on a Raspberry Pi 5 to move beyond simple correlation—identifying what truly causes quality changes. The result is a causal model that informs smarter environmental control, not just alerting on thresholds.
What You'll Build
You'll construct a multi-node monitoring system that captures temperature, humidity, and vibration data from three wireless ESP32 nodes, streams it to a Pi 5 central hub, and runs a causal inference pipeline. The final dashboard shows not just real-time readings, but graphical causal models that reveal, for example, whether humidity fluctuations cause temperature shifts or whether vibration directly impacts wine quality, enabling you to make data-driven storage decisions.
What You'll Learn
- Causal inference fundamentals with DoWhy and EconML on real-world data
- Deploying an IoT mesh with ESP32, DHT22, and ADXL345 sensors
- Streaming and storing sensor data on an NVMe SSD via M.2 HAT
- Building a causal graph and performing refutation tests on IoT variables
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| NVMe SSD 512GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| ESP32 Dev Board | 3 |
| DHT22 | 3 |
| ADXL345 | 3 |
| USB-C PSU | 1 |
| MicroUSB Cable | 3 |
| M-M Wires | 25 |
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 advanced engineering students — B.Tech ECE/EEE projects, Smart India Hackathon teams exploring causal analysis, and IoT enthusiasts participating in IIT/NIT/VIT/BITS research. Also ideal for hobbyist wine collectors with a data science bent who want to build a production-quality monitoring system with causal insights, not just dashboards.
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 provides real-time guidance through every step; you can also message us on WhatsApp for human help if the assistant can't resolve the issue.
Do I need prior experience with causal inference?
Not necessarily. The AI companion explains DoWhy step-by-step, but basic Python and IoT familiarity will help you move faster.
Can I use this kit to monitor other environments like a greenhouse?
The sensor fusion and causal pipeline adapts to any microclimate, but the AI companion is tuned for wine cellar scenarios; you can extend the code for other use cases.
Does the kit include the wine cellar itself?
No, it provides the electronics and sensors only. You’ll set them up in your existing cellar or simulate one with a controlled box for testing.
Wine Storage — DoWhy causal inference library on Pi 5 identifies causal relationships between IoT variables — beyond correlation to causation.
What's in this kit
- Raspberry Pi 5 8GB
- NVMe SSD 512GB
- Pi 5 M.2 HAT+
- ESP32 Dev Board x3
- DHT22 x3
- ADXL345 x3
- USB-C PSU
- MicroUSB Cable x3
- M-M Wires x25
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