Baby Room Comfort Monitor Kit — AI-Powered Predictive Maintenance with Pi 5 and ESP32

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Build a smart infant care system that monitors critical nursery equipment — air purifiers, bottle warmers, or humidifiers. Three wireless ESP32 nodes attached to each machine stream vibration, temperature, and current data to a central Raspberry Pi 5. An on-device LSTM neural network analyzes the signals and alerts you 2 hours before a likely failure, giving caregivers time to act.

What You'll Build

You’ll assemble a multi-node IoT network that continuously captures sensor data from up to three machines. A real-time dashboard displays readings, while the Pi’s LSTM model computes failure probabilities. The result is a fully functional early warning system you can extend to more appliances or integrate with home automation platforms.

What You'll Learn

• Deploying edge AI inferencing on Raspberry Pi 5 with an LSTM model
• Building wireless sensor nodes using ESP32, ADXL345, ACS712, and DHT22
• Streaming multi‑sensor data via Wi‑Fi and MQTT for time‑series processing
• Implementing predictive maintenance logic that triggers alerts hours ahead of downtime

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for B.Tech ECE/EEE students building IoT predictive maintenance projects, CBSE Class 11–12 learners exploring edge AI, and Smart India Hackathon teams needing a real infant‑care demonstration. ATL Tinkering Lab mentors and IIT/NIT/VIT/BITS hobbyists will also find the sensory pipeline and LSTM inference directly applicable to higher‑level research.

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.