ESP32 Air Quality Intelligence Node: Predict AQI with On-Device AI and Stream to Node-RED

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

This kit transforms air quality sensing into predictive intelligence. Instead of merely reading current gas levels, you’ll train and deploy a TensorFlow Lite regression model on the ESP32 that infers the Air Quality Index from MQ135 and DHT22 readings, then streams predictions to a live Node-RED dashboard. It’s a compact, real-world edge AI system perfect for monitoring indoor pollution at home, demonstrating smart city concepts at hackathons, or completing CBSE Class 11–12 AI/IoT practicals.

What You'll Build

You’ll assemble a complete air quality intelligence node. The MQ135 detects smoke, CO₂, and other harmful gases; the DHT22 captures temperature and humidity. The ESP32 runs a pre‑trained TensorFlow Lite regression model to calculate AQI instantly — no cloud processing needed. The OLED displays the index locally, while MQTT pushes live predictions to a Node-RED dashboard you can access from any phone or laptop. Everything is wired on a breadboard‑free base, housed neatly, and powered by a single MicroUSB cable.

What You'll Learn

• Collect and preprocess multi‑sensor data for edge machine learning
• Train a TensorFlow Lite regression model and convert it for microcontroller deployment
• Stream real‑time IoT predictions to a Node‑RED dashboard via MQTT
• Build an end‑to‑end edge AI pipeline — from physical sensor to cloud visualization

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11–12 students pursuing the AI or IoT elective will find this kit directly aligns with practical‑file requirements. B.Tech ECE/EEE undergraduates can use it for mini‑projects or Smart India Hackathon prototypes. ATL Tinkering Lab mentors and IIT/NIT/VIT/BITS workshop attendees will appreciate its structured learning path and immediate, visible outcomes — an AI model running on a device smaller than a credit card.

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.