Sous-Vide Temperature Excursion Predictor Kit for Raspberry Pi 5
Sous-Vide Temperature Excursion Predictor Kit for 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.
Imagine building a system that predicts if your sous-vide water bath will lose temperature before it actually happens-giving you time to prevent food spoilage. You'll assemble a Pi 5-powered predictor that monitors four DS18B20 waterproof sensors and a BMP280 pressure/temperature sensor, logging trends onto a fast NVMe SSD. On-device AI forecasts cold chain breaches and sends alerts over your local network, making it a practical tool for cooking enthusiasts and IoT learners alike.
What You'll Build
You'll build a compact monitoring station that tracks water bath temperature at four points, records barometric pressure for convection analysis, and stores time-series data on SSD for long-term trend analysis. The AI module-a Python script running on Pi 5-analyzes recent sensor readings to detect a cooling trend before the temperature drops below safe levels, triggering a visual and network alert. It's a fully functional tool you can deploy in a home kitchen or a college lab.
What You'll Learn
- Interface multiple DS18B20 waterproof sensors on a single 1-Wire bus with Raspberry Pi 5
- Calibrate and integrate BMP280 for atmospheric and temperature compensation
- Build a predictive alert system using Python and trend analysis on the Pi 5
- Configure NVMe SSD for high-speed data logging and rapid boot with Pi 5 M.2 HAT+
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| DS18B20 Waterproof | 4 |
| BMP280 | 2 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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
Cooking - Temperature excursion predictor on Pi 5 forecasts cold chain breach risk from sensor trend - alerts before threshold crossed. What's in this kit
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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