Pi 5 Full MLOps Pipeline IoT Platform
Build an End-to-End MLOps Pipeline on Raspberry Pi 5 with IoT Sensors
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform raw sensor readings into production-grade AI models with this complete MLOps kit. Three ESP32 nodes stream temperature, humidity, and vibration data to a Raspberry Pi 5, where you train, version, A/B test, and deploy models—then monitor their performance in real time. It’s the exact workflow used in industrial predictive maintenance, compressed into a single project.
What You'll Build
A distributed IoT sensor network feeding a local MLOps server. You will build data ingestion pipelines, automate model training with MLflow or similar tools, deploy winner models via REST API, and set up drift monitoring dashboards—all running on Pi 5 with NVMe storage for fast experiment tracking.
What You'll Learn
- Design a multi-sensor IoT data acquisition system with ESP32 microcontrollers
- Preprocess streaming time-series data and store it in a local feature store on NVMe SSD
- Set up MLflow on Raspberry Pi 5 for experiment tracking and model registry
- Implement A/B testing between competing models with live sensor inference
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| ESP32 Dev Board | 3 |
| DHT22 | 3 |
| ADXL345 | 3 |
| NVMe SSD 512GB | 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
This kit is built for B.Tech ECE, CS, and EEE students tackling capstone projects, M.Tech researchers prototyping edge AI pipelines, and participants in the Smart India Hackathon working on IoT/AI industrial challenges. If you’re an ATL mentor or a professional wanting to demonstrate MLOps on resource-constrained hardware, this kit gives you everything in one box.
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?
Our AI build companion, accessible via QR code, guides you through every step. Still stuck? WhatsApp us for direct engineering support.
Can I integrate this MLOps pipeline with cloud platforms like AWS or Azure?
Yes, the Pi 5 can push trained models and logs to cloud services, but this kit is designed to teach you fully local MLOps first so you understand the entire stack before scaling up.
How do I monitor model drift in production?
The AI companion guides you in setting up a Grafana dashboard on the Pi 5 that tracks prediction distributions and triggers alerts when drift exceeds a threshold.
What if my ESP32 nodes lose Wi-Fi connection?
Each ESP32 node buffers readings locally and resends upon reconnection. Our code examples handle this gracefully with minimal data loss.
End-to-end MLOps on Pi 5 — sensor data collection, model training, A/B testing, deployment and monitoring in production.
What's in this kit
- Raspberry Pi 5 8GB
- ESP32 Dev Board x3
- DHT22 x3
- ADXL345 x3
- NVMe SSD 512GB
- 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