Server Room Temperature Monitor Kit v21 – AI Data Centre Health Classifier with 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.

The relentless hum of a data centre masks silent threats—overheating servers, unbalanced racks, unexpected vibrations. This kit lets you build a hive-model monitor that listens like a beekeeper, turning raw sensor streams into a trained health classifier on a Raspberry Pi 5. Two DHT22 units, a load cell, and an ADXL345 accelerometer feed into an edge-based machine learning system that flags anomalies before they cascade.

What You'll Build

You will assemble a multi-sensor data collection node that mimics a beehive’s distributed sensing. Each DHT22 reports temperature and humidity from separate hotspots, the load cell measures rack weight (detecting uneven loading), and the ADXL345 captures vibration patterns from cooling fans or hard drives. All data is logged to a 128GB NVMe SSD and processed by a lightweight classifier running on the Pi 5, capable of sending real-time alerts. The final dashboard visually mirrors the health of your server room, just as a beekeeper inspects hive frames.

What You'll Learn

• Interface multiple I²C and one-wire sensors simultaneously on Raspberry Pi 5 without address conflicts.
• Calibrate a load cell with HX711 amplifier and stream weight data over MQTT.
• Capture high-frequency vibration data from the ADXL345 and interpret FFT signatures for equipment wear.
• Train and deploy a Raspberry Pi–compatible ML health classifier using edge-based feature extraction.

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Engineers and engineering students in India will find this kit directly relevant to data centre infrastructure management. B.Tech ECE and EEE students can tackle Smart India Hackathon challenges on predictive maintenance. CBSE Class 12 students with a Python background will grasp the classifier logic, while ATL Tinkering Labs can demonstrate IoT and AI convergence. If you manage a small server room or participate in IIT/NIT/VIT tech fests, this gives you a deployable monitor that learns from its environment.

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.