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Wine Cellar Climate Monitor Kit v20
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Wine Cellar Climate Monitor Kit v20

SKU: CDN-KIT-4011 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 32,030.00
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Wine Cellar Climate Monitor Kit v20 – Predictive Maintenance IoT System with ESP32 & 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.

Difficulty: Intermediate Build Time: 5-6 hrs Age: 15-21 Skill: AI-driven Predictive Maintenance using LSTM Networks

Keep a wine cellar’s cooling system running without surprises. This kit lets you deploy three ESP32 sensor nodes that stream real-time vibration, temperature, and current data to a Raspberry Pi 5. An on-device Long Short-Term Memory (LSTM) neural network learns normal machine behavior and alerts you two hours before a failure – giving cellar managers and hobbyists time to prevent spoilage.

What You'll Build

A three-node IoT network that continuously monitors a wine cellar's compressor and cooling units. The Raspberry Pi 5 ingests sensor data over WiFi, stores time-series data on a 256GB NVMe SSD, and runs an LSTM model to forecast anomalies. You'll create a web dashboard displaying health scores and get SMS or email alerts when early warning thresholds are crossed.

What You'll Learn

  • Deploying multi-node ESP32 sensor networks with WiFi communication.
  • Collecting and streaming analog and digital sensor data (vibration, temperature, current).
  • Training and deploying a Long Short-Term Memory (LSTM) neural network on a Raspberry Pi 5.
  • Building an edge AI system for real-time predictive maintenance applications.

Kit Contents

Component Quantity
Raspberry Pi 5 4GB x1
ESP32 Dev Board x3
ADXL345 x3
ACS712 x3
DHT22 x3
NVMe SSD 256GB x1
Pi 5 M.2 HAT+ x1
USB-C PSU x1
MicroUSB Cable x3
M-M Wires x30

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 intermediate IoT kit is built for engineering students (B.Tech ECE/EEE) working on Smart India Hackathon challenges, CBSE Class 12 innovative project ideas, and ATL tinkering lab mentors who want a real-world predictive maintenance case. It's also ideal for hobbyists exploring edge AI without sourcing dozens of components.

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, accessible by QR code on the kit box, guides you through wiring, code, and model training. You can also reach our Bengaluru support team via WhatsApp for personalized help.

Do I need an actual wine cellar to use this kit?

No. The sensors can monitor any cooling compressor or motor. The AI model is trained to learn vibration and temperature patterns, so you can test it on a small fan or refrigerator at home before deploying in a real setup.

How long does it take to train the LSTM model?

With the pre-collected sample data included, model training completes in under 15 minutes on the Pi 5. You can then feed live sensor data and see predictions almost immediately.

Is soldering required?

No soldering. All connections use pre-crimped jumper wires and breadboard-ready modules. Build time of 5-6 hours assumes first

Wine Storage — Vibration, temperature and current data from 3 ESP32 nodes feeds an LSTM on Pi 5 — predicts machine failure 2 hours ahead.

What's in this kit

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

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