Raspberry Pi 5 Office Occupancy Tracker Kit - AI-Driven HVAC Energy Optimizer

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

Turn any office into a smart energy-saving space. This kit equips you to monitor CO2 levels and motion with PIR sensors, predict occupancy on the edge with Raspberry Pi 5, and train a reinforcement learning agent that adjusts HVAC setpoints in real time-cutting waste without sacrificing comfort. It's a complete AI-IoT system that mirrors real-world building management challenges.

What You'll Build

You'll assemble a fully functional IoT device that reads two PIR motion detectors, a CO2 sensor, and two DHT22 temperature-humidity sensors. The Pi 5 processes data, runs an RL model (you'll train a Q-learning or DQN agent), and triggers two 5V relay modules to toggle HVAC cooling/heating. All sensor logs and model checkpoints store on the 128GB NVMe SSD via the M.2 HAT+, making it a standalone edge server. The final dashboard displays real-time occupancy predictions, CO2 trends, and relay states-proof you can orchestrate energy use from sensor data.

What You'll Learn

• Integrating CO2, PIR, and DHT22 sensors with a Raspberry Pi 5 over GPIO and serial interfaces
• Designing and coding a reinforcement learning agent (tabular or deep) to optimise HVAC setpoints
• Preparing real sensor data for occupancy prediction and reward functions
• Deploying a persistent IoT edge node with SSD storage and remote access via the AI companion

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11-12 students exploring AI-IoT integration, B.Tech ECE/EEE learners prototyping for Smart India Hackathon or capstone projects, and ATL Tinkering Lab instructors building real-world automation demos. Also suits early-career engineers who want a hands-on RL deployment without juggling component sourcing.

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.