AIR QUALITY MONITOR AND PREDICTION SYSTEM USING IOT AND MACHINE LEARNING ALGORITHMS

E.Sasikala; Koppala Komala; Perimidi Sirisha; Dhara Kishore; Pigilam Sandhya; Pulla Yedukondalu

AIR QUALITY MONITOR AND PREDICTION SYSTEM USING IOT AND MACHINE LEARNING ALGORITHMS

Authors: E.Sasikala, Koppala Komala, Perimidi Sirisha, Dhara Kishore, Pigilam Sandhya, Pulla Yedukondalu

Unique Paper ID: 178100
Volume: 11
Issue: 12
PageNo: 2170-2177

Keywords: Machine Learning Accuracy Classifier Arduino UNO Sensor Q-Learning.

Abstract:
The pollution level is increasing rapidly due to factors like industries, urbanization, increase in population, and vehicle use which can affect human health. IOT Based Air Pollution Monitoring System is used to monitor Air Quality over a web server using the Internet. It will trigger an alarm when the air quality goes down beyond a certain level, which means when there are sufficient amounts of harmful gases in the air like CO2, smoke, alcohol, NH3 and NOx. It will show the air quality in PPM on the show data and the webpage so that they can easily monitor air pollution. The system uses MQ135 and MQ6 sensors for monitoring Air Quality as it detects the most harmful gases and can measure their amount accurately. The system uses an Arduino UNO to connect to an IOT platform and provide information about contaminants to the staff. Based on a microcontroller, the system employs gas sensors, DHT11 temperature and humidity, a display, and a buzzer. Arduino UNO and MQ135 sensors are intended to use as monitoring data and alert systems for air pollution. In the present research, an air pollution prediction model is established with the help of machine learning models. Machine learning techniques such as Q-Learning applied to the dataset. It is simple and fast to alter it to fit our changing needs. Then, the target of this project is to apply the machine learning (Q-Learning) concept for the prediction and analysis of gas sensors' pollution levels so that we can analyze the pollution level due to the pollutant gases based on prediction analysis.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2170-2177

AIR QUALITY MONITOR AND PREDICTION SYSTEM USING IOT AND MACHINE LEARNING ALGORITHMS

Available:https://ijirt.org/Article?manuscript=178100

06 May, 2025

AI-Driven Animal Intrusion Detection System for Agriculture: Real-Time Monitoring and Automated Response Using Deep Learning

06 May, 2025

SMART AUTONOMOUS FIRE-FIGHTING ROBOTIC

06 May, 2025

IOT Based Smart Solider Health Monitoring System

06 May, 2025

Interactive Educational Robot using advanced Speech Recognition and NLP algorithms

06 May, 2025

SMART APAROKSHA APPLICATION USING ANDROID WITH MULTIFEATURES

06 May, 2025

Automatic Person-in-Water Detection for Marine Search and Rescue Operations

06 May, 2025

SURVEY ON The Transforming Retail With5G: Unlocking Immersive Augmented Reality Shoping Experience

06 May, 2025

Survey on AI-Powered Simulations to Elevate Financial Literacy in Real-Time

05 May, 2025

A Survey On Advanced Surveillance System for Intelligent Threat Detection

05 May, 2025

A Survey On Data-Driven Air Quality Prediction Using Machine Learning

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry