Baby Room Comfort Monitor Kit with Arduino Nano + MPU6050
Arduino Nano Baby Room Comfort Monitor Kit with Tiny ML Classification
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Create a compact device that monitors your infant’s comfort using real-time sensor classification. Train a tiny machine learning model on your PC to recognize patterns in motion, temperature, and humidity, then deploy it to an Arduino Nano. The final assembly achieves 96% accuracy, alerting you to potential discomfort before it escalates—perfect for a hackathon, capstone project, or personal use.
What You'll Build
A battery-powered monitor in a custom ABS enclosure, designed to sit near a crib. The MPU6050 captures subtle movement, the DHT22 reads ambient conditions, and the Nano runs a Tiny ML model to classify states like “Calm,” “Unsettled,” or “Too Warm.” Live comfort status appears on the OLED screen, while the training pipeline teaches you end‑to‑end embedded ML: collecting labeled data, training on a cloud platform, and exporting an optimized model for an 8‑bit microcontroller.
What You'll Learn
- Train a Tiny ML model using Edge Impulse or TensorFlow Lite for Microcontrollers
- Collect accelerometer and temperature/humidity data and label it for supervised learning
- Deploy optimized neural network inference on an 8-bit microcontroller with 2KB SRAM
- Design a battery-operated, self-contained embedded system with power management
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Nano | 1 |
| MPU6050 | 1 |
| DHT22 | 1 |
| 0.96in OLED | 1 |
| 3.7V LiPo 500mAh | 1 |
| TP4056 Module | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 5 |
| PCB Prototype Board | 2 |
| ABS Enclosure Box | 1 |
| Soldering Iron | 1 |
| Solder Wire | 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
B.Tech ECE, CSE, or EEE students at IITs, NITs, VIT, or BITS working on embedded AI capstone projects or Smart India Hackathon challenges. Also a strong fit for advanced hobbyists and CBSE Class 12 students with Python and Arduino experience who want to explore on‑device machine learning for real‑world infant care applications.
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 the AI companion. It guides you through wiring, model training, and deployment. WhatsApp and email support are also available for deeper debugging.
Do I need prior experience with machine learning?
Familiarity with Python and Arduino is needed, but the kit uses cloud‑based tools for labeling and training, so ML beginners can follow the guided workflow.
Can this monitor predict my baby’s safety?
This is an educational prototype. It classifies comfort patterns based on sensor data but is not a medical device; never rely on it for unsupervised monitoring.
How long does the battery last?
With the 500mAh LiPo and optimized inference, you can expect 4‑5 hours of continuous operation at default OLED brightness and sampling rates.
Infant Care — Tiny ML model trained on PC deployed to Nano. Classifies sensor data in real time with 96% accuracy.
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.
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