Server Room Temperature Monitor Kit with ESP32 + DHT22 v13
Build a Smart Server Room Temperature Monitor with ESP32 and On-Device AI
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
In this advanced project, you’ll build a server room environmental monitor that doesn’t just log temperature—it classifies normal operation vs early-stage cooling failure using a TensorFlow Lite model running directly on an ESP32. When a classification triggers an alert, the on-screen bar chart decomposes the decision, showing which sensor feature (vibration, humidity, sudden temp spike) tipped the model’s confidence. It’s a miniature analogue of the explainable AI dashboards found in hyperscale data centres.
What You'll Build
You’ll assemble a wall-mounted unit that samples room conditions every second, runs infinitesimal ML inference, and displays a real-time feature importance bar chart on its TFT screen. Should your server room’s cooling system drift toward a failure mode, the device not only flags it but justifies its conclusion—exactly the transparency a facilities engineer needs before paging the Ops team at 2 AM.
What You'll Learn
- Deploying and optimizing a TensorFlow Lite micro classifier on the ESP32 platform
- Building LIME-style local interpretability directly on-device for sensor fusion data
- Integrating multiple I2C sensors (ADXL345, MPU6050, DHT22) and managing data pipelines
- Visualizing feature importance as a real-time bar chart on an SPI TFT display
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | x1 |
| ADXL345 Accel | x1 |
| DHT22 | x1 |
| MPU6050 | x1 |
| 2.4in TFT ILI9341 | x1 |
| 4.7kΩ Resistors | x5 |
| 100nF Caps | x5 |
| PCB Prototype Board | x2 |
| 5V 2A PSU | x1 |
| Enclosure Box | x1 |
| Soldering Iron | x1 |
| Solder Wire | x1 |
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 kit is designed for B.Tech (ECE/EEE) students working on final-year projects that demand real-world ML inference, Smart India Hackathon teams prototyping industrial IoT solutions, and junior data centre engineers at Indian IT parks who want hands-on explainable AI experience. If you’re at
Data Centre — TFLite classifier on ESP32. LIME-style local explanation visualised as bar chart showing feature importance.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Other projects you can build
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