Raspberry Pi 5 AI Wine Cellar Monitor — Plain English Queries

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

With this kit, you’ll build a complete wine cellar monitoring system that logs climate data from two ESP32 sensor nodes and stores it on a Raspberry Pi 5 with NVMe SSD. The real breakthrough: an Ollama large language model runs locally on the Pi, letting you type or speak questions like “What was the humidity yesterday at 3 PM?” and get immediate answers—no cloud required.

What You'll Build

You’ll assemble two wireless ESP32 sensor units equipped with DHT22 temperature/humidity sensors and a BMP280 pressure sensor, positioned in your cellar. The Raspberry Pi 5 collects data over MQTT, stores time-series sensor logs on a 512GB NVMe SSD, and runs a local Ollama LLM that can interpret your natural language queries to retrieve historical readings, trends, and alerts. The system serves a web interface accessible from any device on your home network.

What You'll Learn

• Set up and deploy Ollama LLM on Raspberry Pi 5 for

  Wine Storage — Ollama LLM on Pi 5 answers natural language questions about sensor history — query your own home data in plain English.

  What's in this kit

  • Raspberry Pi 5 8GB
  • ESP32 Dev Board x2
  • DHT22 x2
  • BMP280
  • NVMe SSD 512GB
  • Pi 5 M.2 HAT+
  • USB-C PSU
  • MicroUSB Cable x2
  • M-M Wires x20