Pi 5 Predictive Maintenance IoT Platform
Pi 5 Predictive Maintenance IoT Platform – Predict Machine Failures 2 Hours Ahead
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 a factory floor where motors, pumps, and conveyors warn you hours before they fail. You’ll build that exact system — a live predictive maintenance dashboard powered by a Raspberry Pi 5 and three ESP32 sensor nodes. The platform ingests vibration, temperature, and current data, runs an LSTM neural network, and flags anomalies two hours ahead, replicating the workflow deployed daily by industrial IoT engineers.
What You'll Build
Three wireless sensor nodes, each combining an ADXL345 accelerometer, ACS712 current sensor, and DHT22 humidity/temp module, stream real‑time telemetry to a Pi 5. An LSTM model on the Pi learns normal machine behaviour, predicts upcoming failures, and presents health scores and alerts on a local dashboard. The result is a scaled replica of Industry 4.0 predictive maintenance, ready for a college lab or hackathon demonstration.
What You'll Learn
- Deploy and program three ESP32 microcontrollers as edge sensor nodes
- Connect industrial-grade sensors (ADXL345, ACS712, DHT22) and interpret vibration, current, and temperature data
- Train a time-series LSTM model on a Raspberry Pi 5 to detect anomalies and forecast failures
- Visualize predictive insights and model confidence on a real‑time dashboard
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| ESP32 Dev Board | 3 |
| ADXL345 | 3 |
| ACS712 | 3 |
| DHT22 | 3 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| MicroUSB Cable | 3 |
| M-M Wires | 30 |
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
Ideal for intermediate learners — CBSE Class 11-12 students exploring AI‑IoT integration, B.Tech (ECE/EEE) teams building industry‑ready projects, Smart India Hackathon participants solving predictive maintenance challenges, and ATL Tinkering Labs seeking a structured curriculum. The kit fits seamlessly into engineering college labs where Raspberry Pi and ESP32 are core tools.
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.
What if I get stuck during the build?
Scan the QR code to chat with the AI companion, or send a WhatsApp message — we’ll help you debug sensor streams or LSTM parameters within hours.
Can I use this kit for my college final year project or a hackathon?
Yes. The pre‑trained LSTM model and complete documentation give you a solid foundation to present a working predictive maintenance system, and you can extend it with custom thresholds or cloud logging.
Does the kit include all software and the LSTM model code?
Absolutely. The QR code links to a pre‑loaded Pi OS image with TensorFlow Lite, a trained model, and Python scripts that ingest ESP32 data and serve the dashboard.
What if a sensor is defective?
Every component is covered for 7 days against manufacturing defects. Contact us and we’ll replace it immediately from our Bengaluru warehouse.
Vibration, temperature and current data from 3 ESP32 nodes feeds an LSTM on Pi 5 — predicts machine failure 2 hours ahead.
What's in this kit
- Raspberry Pi 5 4GB
- ESP32 Dev Board x3
- ADXL345 x3
- ACS712 x3
- DHT22 x3
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- MicroUSB Cable x3
- M-M Wires x30
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