Raspberry Pi 5 Senior Care Kit: Predict Occupancy, Automate HVAC with an RL Agent

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 non-intrusive monitoring system that understands the daily rhythm of an elderly person's room. Using CO2 concentration patterns from the MH-Z19 and motion triggers from dual PIR sensors, you'll train a reinforcement learning agent to predict when the room is occupied-then let it intelligently adjust heating or cooling via relays, balancing lived comfort with genuine energy savings.

What You'll Build

A compact, wall-mountable unit that continuously senses CO2, temperature, humidity, and motion. Onboard the Pi 5, an RL agent learns occupancy patterns and directly controls a two-zone HVAC setup. The result is a self-adapting room that never overcools an empty chair or lets a hot afternoon become uncomfortable, all while logging data for review.

What You'll Learn

• Interface MH-Z19 CO2, HC-SR501 PIR, and DHT22 sensors with a Raspberry Pi 5 in a multithreaded Python stack
• Train and deploy a reinforcement learning model directly on an NVMe SSD-no cloud dependency
• Implement a predictive occupancy algorithm that fuses CO2 trend analysis with motion timing
• Wire and control external HVAC equipment through 5V relay modules, with fail-safe logic

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for CBSE Class 11-12 students exploring AI, B.Tech ECE/EEE final-year project groups, and Smart India Hackathon teams prototyping elder-care solutions. Equally relevant for ATL Tinkering Labs scaling to advanced IoT and for IIT/NIT/VIT/BITS undergraduates building RL-driven smart home systems with a real-world deployment angle.

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.