HVAC Performance Monitor Kit v25
HVAC Performance Monitor Kit v25 — End-to-End MLOps on 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.
With the HVAC Performance Monitor Kit v25, you’ll build a complete production-grade machine learning system on real hardware. Three ESP32-based sensor nodes stream temperature, humidity, and vibration data to a Raspberry Pi 5 central server. From there, you’ll run the full MLOps lifecycle—data collection, model training, A/B testing, and deployment—all on-device, simulating a real industrial HVAC monitoring deployment.
What You'll Build
By the end of this build, you’ll have a working IoT network of three wireless sensor nodes feeding a Pi 5. You’ll train a model to predict HVAC performance degradation and deploy it in a production-like environment with monitoring and rollback capabilities. You’ll gain hands-on experience with the same MLOps workflow used in smart buildings and factories.
What You'll Learn
- Set up a multi-node ESP32 wireless sensor network collecting DHT22 and ADXL345 data
- Deploy a real-time data pipeline from sensors to a Pi 5 over WiFi using MQTT
- Train and evaluate an ML model on the Pi 5, then conduct A/B testing of model versions
- Monitor model performance in production and implement graceful fallback strategies
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 (8GB) | 1 |
| ESP32 Dev Board | 3 |
| DHT22 Temperature/Humidity Sensor | 3 |
| ADXL345 Accelerometer | 3 |
| NVMe SSD 512GB | 1 |
| Raspberry Pi 5 M.2 HAT+ | 1 |
| USB-C Power Supply | 1 |
| MicroUSB Cable | 3 |
| Male-to-Male Jumper Wires (pack of 30) | 1 |
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 final-year B.Tech ECE/EEE/CS students building capstone projects on AI-driven IoT, Smart India Hackathon teams tackling industrial automation challenges, and early-career engineers wanting to add production MLOps experience to their portfolio. It’s equally suited for M.Tech researchers at IITs, NITs, and VIT focusing on edge AI.
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?
Your kit's AI companion gives step-by-step guidance for every stage; if you hit a snag, WhatsApp our build support team for a same-day reply.
Is this kit suitable for a college final year project?
Yes, the end-to-end MLOps system is an excellent capstone project for ECE, CS, or EEE students. The documentation and AI companion help you meet university requirements.
Do I need prior experience with machine learning?
You should be comfortable with Python and basic IoT concepts. The kit guides you through model training and deployment, but assumes familiarity with programming fundamentals.
Can I monitor the HVAC system remotely over the internet?
Yes, once the Pi 5 is connected to your network, you can access dashboards and model metrics from any device on the same network or via port forwarding for remote access.
HVAC — 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