Office Indoor Air Tracker Kit
Office Indoor Air Tracker Kit – Predict Office Air Quality with ESP32 and AI
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Stuffy meeting rooms and sealed office spaces concentrate CO₂, VOCs, and humidity that silently drain focus and energy. With this kit, you build a compact device that reads real-time air quality from MQ135 and DHT22 sensors, runs an on-device TFLite regression model to predict AQI, and streams the results to a Node-RED dashboard — giving you actionable insights before air quality drops.
What You'll Build
You’ll assemble a desk-mounted ESP32 monitor that displays live temperature, humidity, and gas sensor readings on the OLED. The microcontroller runs a trained regression model to compute an air quality index (AQI) from those raw signals. A Node-RED flow then plots the predictions over time, so you can track office air trends and share data with colleagues or building management.
What You'll Learn
- Interface MQ135 and DHT22 sensors with ESP32 and extract meaningful environmental readings
- Preprocess sensor data to feed a machine learning model for air quality prediction
- Train a TFLite regression model and deploy it on ESP32 for real-time on-device AQI inference
- Build a Node-RED dashboard that ingests predicted AQI via MQTT and visualizes air quality trends
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
Designed for CBSE Class 11–12 students working on computer science or environmental projects, ATL Tinkering Lab members exploring IoT and AI, and first-year B.Tech ECE/EEE students getting hands-on with TinyML. Workplace wellness advocates prototyping low-cost indoor air monitors will also find a ready-to-assemble foundation for actual office deployments.
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?
The AI companion walks you through diagnostic checks; you can also send a photo of your wiring over WhatsApp and our team will help you within hours.
Does this kit include a Node-RED cloud account?
No, you run Node-RED on your laptop or on a free-tier cloud VM — the AI companion explains both local and cloud deployment in detail.
Can I adapt the TFLite model to detect other gases or pollutants?
The model is trained for AQI prediction using MQ135 and DHT22. The AI companion guides you on collecting additional sensor data and retraining if you add a different gas sensor.
Is this kit suitable for a school science exhibition?
Absolutely. The project demonstrates IoT data acquisition, on‑device AI, and real‑time dashboards — a complete showcase for CBSE science fairs or ATL exhibitions.
Workplace Air — MQ135 and DHT22 data feeds a TFLite regression model on ESP32 predicting AQI — streams predictions to Node-RED.
What's in this kit
- ESP32 Dev Board
- MQ135 Gas Sensor
- DHT22
- 0.96in OLED
- MicroUSB Cable
- M-M Wires x15
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