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Classroom Air Quality Monitor Kit
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Classroom Air Quality Monitor Kit

SKU: CDN-KIT-3993 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 1,590.00
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ESP32 Classroom Air Quality Monitor Kit – Predict AQI with AI and IoT

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

Difficulty: Beginner Build Time: 3-4 hrs Age: 15-18 Skill: Edge AI and IoT sensor integration

Walk into your classroom, power up this device, and watch it not just measure air quality but predict what comes next — all on a tiny microcontroller running a machine learning model. This kit turns a standard ESP32 into an intelligent air quality monitor that learns from sensor patterns and streams predictions to a live dashboard, making it ideal for science exhibitions, CBSE AI practicals, or a first step into embedded ML.

What You'll Build

You’ll assemble a complete monitor that reads real-time gas concentrations (MQ135) and environmental conditions (DHT22). The ESP32 runs a TensorFlow Lite regression model trained to predict AQI values from these sensor feeds. Readings and predictions appear on the 0.96-inch OLED, while the exact AQI forecast flows wirelessly to a Node-RED dashboard — a working AIoT system from one box.

What You'll Learn

  • How to interface analog and digital sensors with ESP32 over I2C and GPIO
  • Deploying a TensorFlow Lite regression model on a microcontroller for on-device inference
  • Streaming real-time IoT data to Node-RED and building a live monitoring dashboard
  • Understanding the relationship between TVOC, humidity, temperature, and predicted AQI

Kit Contents

Component Quantity
ESP32 Dev Board 1
MQ135 Gas Sensor 1
DHT22 1
0.96in OLED 1
MicroUSB Cable 1
M-M Wires 15

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

CBSE Class 11–12 students tackling AI or IT practicals will find the TFLite-on-ESP32 flow matches syllabus goals. B.Tech ECE and EEE students can use it for IoT lab submissions or Smart India Hackathon prototypes. ATL Tinkering Labs get a ready-made activity that covers sensors, ML, and dashboard building — all with components trusted in Indian institutions.

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 to chat with the AI companion, or drop a message on WhatsApp — we’ll help you debug the exact step you’re on.

Do I need coding experience to build this?

The kit comes with pre-written firmware and a drag-and-drop Node-RED dashboard template. You’ll upload code to the ESP32 and arrange dashboard widgets — no coding from scratch required.

Can I use this for a CBSE science exhibition or ATL project?

Absolutely. The real-time AQI prediction with ML and IoT streaming matches many project requirements. The OLED display and Node-RED dashboard make it demonstration-ready.

Does this kit measure actual AQI or just predict it?

The MQ135 detects TVOC and equivalent CO2, which the TFLite model uses along with temperature and humidity to predict a composite AQI value. It is a learned approximation, not a calibrated reference instrument.

School Air — MQ135 and DHT22 data feeds a TFLite regression model on ESP32 predicting AQI — streams predictions to Node-RED.

What's in this kit

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

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