International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

AIR SHPERE: AI Powered Real-Time Air Quality Monitoring and Health Intelligence System

Shakti GotpagarStudent, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, IndiaRavindra WaghmareStudent, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, IndiaSamiksha KhandagaleStudent, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, IndiaSwaroop JadhavStudent, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, IndiaProf. Sanket SontakkeGuide, Professor, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, IndiaProf. Mayuri NarudkarHoD, Professor, Artificial Intelligence & Machine Learning Engineering Diploma, Ajeenkya D.Y Patil School of Engineering, Charholi, Pune, India

Vol 10 No 2 (2026): Volume 10, Issue 2, February 2026 | Pages: 105-109

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 28-02-2026

doi Logo doi.org/10.47001/IRJIET/2026.102018

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Abstract

AIR SPHERE is an intelligent web-based system designed to monitor, analyze, and predict air quality and climate conditions in real time. The project aims to address growing environmental concerns by providing users with accurate Air Quality Index (AQI) data along with future predictions using machine learning techniques. By integrating environmental datasets such as temperature, humidity, and pollutant concentrations (PM2.5, PM10, CO, NO₂), the system delivers meaningful insights into air quality trends.

The platform utilizes advanced algorithms to forecast AQI levels, helping users take preventive measures for health and safety. A user-friendly and visually appealing interface ensures easy understanding of complex environmental data through graphs, indicators, and alerts. Additionally, the system can provide recommendations based on AQI levels, such as whether it is safe to go outdoors.

AIR SPHERE serves as a practical solution for individuals, researchers, and urban planners by promoting awareness and enabling data-driven decisions toward a healthier and more sustainable environment.

Keywords

Real-Time AQI monitoring, AQI Prediction using ML, Uses Climate and pollution data, Provides health alerts, User-friendly interface


Citation of this Article

Shakti Gotpagar, Ravindra Waghmare, Samiksha Khandagale, Swaroop Jadhav, Prof. Sanket Sontakke, & Prof. Mayuri Narudkar. (2026). AIR SHPERE: AI Powered Real-Time Air Quality Monitoring and Health Intelligence System. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(2), 105-109. Article DOI https://doi.org/10.47001/IRJIET/2026.102018

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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