Next Generation Smart Air Purifier Leveraging IOT for Predictive Air Quality Control

This paper describes the about the air quality in recent years, the deterioration of air quality has emerged as a critical global concern, significantly impacting public health and environmental sustainability. The increase in urbanization, industrial activities, and vehicular emissions has contributed to the prevalence of particulate matter (PM2.5) and harmful gases, posing severe risks to human health. This project proposes the development of an Intelligent Air Purifier, integrating advanced sensor technology with Arduino-based microcontroller systems to monitor and enhance air quality in indoor environments The Intelligent Air Purifier is designed to measure PM2.5 levels, detect smoke, and assess overall air quality using sophisticated gas sensors. When air quality falls below acceptable thresholds, the system activates a fan that circulates air through a HEPA filter, effectively removing pollutants and allergens. Additionally, a Bluetooth module facilitates control via a voice recognition Android application, allowing users to operate the device remotely, enhancing user convenience.The project also includes an LPG sensor that monitors for gas leaks, triggering an alarm with a buzzer to alert occupants of potential dangers. The integration of these technologies aims to create a user- friendly, efficient air purification system that not only ensures cleaner air but also prioritizes safety in domestic settings. The data is also stored in sd card, the data then is used to train ml model which uses logistic regression to predict the future air quality

Authors

Publication Details

Journal
International Journal Of Scientific Research In Engineering & Technology
Published
2025-05-22
DOI
https://doi.org/10.59256/ijsreat.20250503008
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Next Generation Smart Air Purifier Leveraging IOT for Predictive Air Quality Control

Deepak Ramasubramanian, Guru Sai Charan, ПАРУБСКАЯ А.В. ПАРУБСКАЯ А.В., H E Sheethal et al.
International Journal Of Scientific Research In Engineering & Technology
Air Quality Monitoring and Forecasting
article

Next Generation Smart Air Purifier Leveraging IOT for Predictive Air Quality Control

Deepak Ramasubramanian, Guru Sai Charan, ПАРУБСКАЯ А.В. ПАРУБСКАЯ А.В., H E Sheethal, T B Prakruthi
article en

Abstract

This paper describes the about the air quality in recent years, the deterioration of air quality has emerged as a critical global concern, significantly impacting public health and environmental sustainability. The increase in urbanization, industrial activities, and vehicular emissions has contributed to the prevalence of particulate matter (PM2.5) and harmful gases, posing severe risks to human health. This project proposes the development of an Intelligent Air Purifier, integrating advanced sensor technology with Arduino-based microcontroller systems to monitor and enhance air quality in indoor environments The Intelligent Air Purifier is designed to measure PM2.5 levels, detect smoke, and assess overall air quality using sophisticated gas sensors. When air quality falls below acceptable thresholds, the system activates a fan that circulates air through a HEPA filter, effectively removing pollutants and allergens. Additionally, a Bluetooth module facilitates control via a voice recognition Android application, allowing users to operate the device remotely, enhancing user convenience.The project also includes an LPG sensor that monitors for gas leaks, triggering an alarm with a buzzer to alert occupants of potential dangers. The integration of these technologies aims to create a user- friendly, efficient air purification system that not only ensures cleaner air but also prioritizes safety in domestic settings. The data is also stored in sd card, the data then is used to train ml model which uses logistic regression to predict the future air quality

International Journal Of Scientific Research In Engineering & Technology
Openalex Percentile: Top 89%
Air Quality Monitoring and Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Next Generation Smart Air Purifier Leveraging IOT for Predictive Air Quality Control — Deepak Ramasubramanian, Guru Sai Charan, et al. · International Journal Of Scientific Research In Engineering & Technology (2025) | TGRS Research Map | TGRS