Pi 5 AI Powered Home Energy Manager
Raspberry Pi 5 AI Home Energy Manager Kit — Optimize Electricity Usage with On-Device ML
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Picture a single device that watches your home’s electrical heartbeat, learns the unique signature of every appliance — from your geyser to your gaming PC — and automatically shifts power-hungry loads to off-peak hours. This kit puts real-time machine learning on a Raspberry Pi 5 to classify current waveforms and schedule relay outputs, turning a beginner’s IoT idea into a production-ready energy manager. It’s the same concept you’d prototype at Smart India Hackathon or develop for a B.Tech final year project, now available as a pre-tested bundle.
What You'll Build
You’ll clamp four non-invasive CT sensors onto your main line and individual circuits, feed the signals through a high-precision ADS1115 ADC, and let the Raspberry Pi 5 run a TensorFlow Lite model that identifies which appliances are drawing power in real time. Based on the detected load, the Pi commands 5V relays to connect or disconnect devices according to a schedule that flattens peak demand. The entire system logs data to a 128GB NVMe SSD, creating a long-term energy audit without any cloud dependency.
What You'll Learn
- Deploy a TensorFlow Lite model on Raspberry Pi 5 for low-latency, on-device inference
- Collect and label current signature datasets using SCT-013 sensors and the ADS1115 ADC
- Integrate multiple relay modules to automate appliance switching based on real-time ML predictions
- Design a load-scheduling algorithm that reduces peak power consumption in an Indian household
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| SCT-013 CT Sensor | 4 |
| ADS1115 ADC | 1 |
| 5V Relay Module | 4 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 25 |
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 intermediate kit is built for B.Tech ECE/EEE students prototyping smart grid solutions, Smart India Hackathon teams needing a reliable energy-monitoring stack, and ATL Tinkering Lab mentors guiding advanced projects. If you’ve handled a Raspberry Pi before and want to add edge AI and home automation to your portfolio, you’ll find every component and guide you need inside.
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 on the box to open your AI build companion. It walks you through wiring, code, and calibration. If you need a human, WhatsApp us directly from the same dashboard.
How do I train the model to recognize my own appliances?
The kit includes a data collection script and a Google Colab notebook. The AI companion shows you how to record signatures from your geyser, AC, or iron, then fine‑tune the TFLite model — no external cloud services needed.
Is it safe to connect these CT sensors to 220V AC mains in India?
The SCT‑013 sensors are non‑invasive clip‑ons; they never touch live conductors. Always follow the safety guide in the build companion and turn off mains before installing. The relay module switches low‑voltage control signals only.
Can I view energy usage on my phone without writing a full app?
Yes. The AI companion provides a Flask dashboard template that runs on the Pi 5’s local WiFi. You can open it in any mobile browser to monitor real‑time appliance status and toggle relays remotely.
Appliance current signatures classified by TFLite on Pi 5 — identifies which devices are on and optimises load scheduling.
What's in this kit
- Raspberry Pi 5 4GB
- SCT-013 CT Sensor x4
- ADS1115 ADC
- 5V Relay Module x4
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x25
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