# Functionality
# Video Demonstration :Below is the project Demonstration :
Read more- PuneAir senses air quality in real-time through an MQ135 gas sensor and
- an optical dust sensor connected to an Arduino UNO Q. Air quality is categorized as
- GOOD, MODERATE, or HAZARDOUS, and this information is displayed through onboard LED
- patterns and a buzzer - all of this offline, without any need for cloud services.
- - The MQ135 sensor detects the quality of gases in the air every ~2 seconds
- - Optical dust sensor illuminates its onboard LED and measures particulate density
- - All measurements are put into a basic threshold classifier - GOOD / MODERATE / HAZARDOUS
- - GOOD: No LED and silence
- - MODERATE: LED is blinking slowly
- - HAZARDOUS: LED is blinking fast and buzzer goes off
Built and tested in real-time; thresholds are set based on the baseline of this specific sensor unit.
# DemoBelow is the Attached Wiring photo and Whole Setup of Project Showing The Serial Monitor screenshot showing GOOD/MODERATE/HAZARDOUS.
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- Power on the Arduino UNO Q and run the PuneAir sketch via Arduino App Lab.
- The system prints a startup message and begins a 30-second MQ135 warm-up period.
- Once warm-up completes, live sensor readings begin — MQ135 gas value, dust density, and the current AQI Level (GOOD / MODERATE / HAZARDOUS) print every 2 seconds.
- In normal air, the status shows GOOD — onboard LED stays off, buzzer silent.
- To demonstrate the alert system, I breathe directly onto the MQ135 sensor to simulate rising pollution.
- As the gas reading climbs past the moderate threshold, the status switches to MODERATE and the LED begins blinking slowly.
- As it climbs further past the hazardous threshold, the status switches to HAZARDOUS — the LED blinks rapidly and the buzzer sounds an audible alarm.
- Once I stop, readings drop back down and the system automatically returns to GOOD — fully autonomous, on-device classification with no cloud dependency.
below is the Video Demonstration
https://drive.google.com/file/d/1ulP5mrjmFUhfzWkqqzCRStGhKdo5QR_I/view?usp=sharing1 project • 1 follower
Final-year Computer Engineering student building Edge AI and IoT solutions for real-world impact.

















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