Raspberry Pi 5 Wine Cellar Climate Monitor Kit — AI-Driven Anomaly Filtering

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

A wine cellar’s climate must stay stable — temperature swings, excess humidity, or unexpected vibration can silently ruin a collection. This kit lets you build a wireless sensor network that monitors those variables across three zones, with an Isolation Forest algorithm that automatically quarantines anomalous data before it ever reaches your dashboard. You’ll gain hands-on experience with industrial MQTT messaging, edge computing on a Raspberry Pi 5, and machine learning for real-time filtering.

What You'll Build

Three ESP32 nodes each read a DHT22 (temperature/humidity) and an ADXL345 (vibration) sensor, then publish payloads to a Mosquitto MQTT broker running on the Raspberry Pi 5. A Python script subscribes to the broker, scores every incoming message using an Isolation Forest model, and routes only normal readings to your dashboard. Anomalous payloads are flagged and stored separately, giving you a clean, trustworthy view of cellar conditions.

What You'll Learn

• Deploy a Mosquitto MQTT broker on Raspberry Pi 5 and configure persistent topics
• Program ESP32 boards to read multiple sensors and publish structured JSON payloads
• Train and integrate an Isolation Forest model for real-time anomaly detection
• Build a dashboard that only displays validated, non-anomalous sensor data
• Use an NVMe SSD via the M.2 HAT+ for low-latency log storage

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE/EEE students building IoT internship prototypes, CBSE Class 12 students exploring AI/ML integration projects, Smart India Hackathon teams tackling climate monitoring use‑cases, and ATL Tinkering Lab mentors supervising advanced sensor networks. If you have basic Python and Arduino IDE experience, this kit bridges the gap to industrial‑style anomaly detection workflows.

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.