Improve air quality tracking through a fully intelligent IoT-based program with AERO Virtual Assistant

¹ Department of CSE, KG Reddy College of Engineering & Technology, Moinabad, Hyderabad, Telangana, India
² Department of CSE Joginapally B.R. Engineering College, Yenkapally, Hyderabad, Telangana, India
³ Department of IT, GRIET, Hyderabad, Telangana, India
⁴ Lovely Professional University, Phagwara, Punjab, India.

^* Corresponding author: venkataraoyanamadni@gmail.com

Abstract

Have you thought about the quality of the air we breathe? Living a healthy and happy life is so important in the wake of the COVID-19 pandemic. To live a healthy life, everyone needs to be aware of the quality of the air they breathe and how their actions impact current and future air quality. This project presents his IoT-based system for measuring, monitoring, communicating, and predicting future air quality. The system was developed using a combination of IoT and machine learning to monitor, analyze and predict air quality in real-time. Air quality can be measured using various gas sensors, temperature and humidity sensors. It also measures the number of hazardous gases emitted in industrial areas. Machine learning models are applied to data values from various sensors to predict future air quality. The proposed solution monitors the current air quality on the device through a small smart application, observes fluctuations using graphs, and sends SMS alerts if air quality parameters exceed acceptable values. can. Another important feature is the addition of AERO, a virtual assistant that allows anyone to communicate atmospheric details. This system allows businesses, organizations, industries, farmers, gardeners, healthcare workers, city dwellers, etc. to easily connect, communicate, and monitor the current air quality in their daily lives and lead healthier lives. You will be able to. This will allow you to perform the necessary actions.