Air Quality Forecasting System
Dheepti A
Information Technology
Francis Xavier Engineering College,
Tirunelveli – Tamil Nadu-India
dheeptia.ug22.it@francisxavier.ac.in
Esha Abinaya Sree M
Information Technology
Francis Xavier Engineering College,
Tirunelveli – Tamil Nadu-India
eshaabinayasreem.ug22.it@francisxavier.ac.in
Ms. Agnes Joshy S,
Assistant Professor/Dept.of
Information Technology
Francis Xavier Engineering College
Tirunelveli-TamilNadu-India
agnesjoshy@francisxavier.ac.in
Abstract:
Air pollution poses a significant threat to public health, environmental stability, and overall quality of life. The Air Quality Forecasting System is designed to provide real-time monitoring and predictive analysis of air quality conditions using advanced machine learning algorithms and real-time data processing. By leveraging sensor networks and cloud computing, the system continuously collects and analyzes atmospheric data to forecast pollution levels and assess environmental risks. It features intelligent data processing, dynamic trend analysis, and automated alerts, ensuring timely awareness and informed decision-making for individuals, businesses, and policymakers. Through an intuitive web and mobile interface, users receive real-time updates, health risk assessments, and recommendations to minimize exposure to hazardous air conditions. This technology-driven approach enhances public safety, supports environmental policies, and promotes sustainable urban planning by providing accurate, data-driven insights for proactive air pollution management.
Keywords: Real-Time Air Quality Monitoring – Environmental Risk Assessment – Smart Air Quality Prediction – AI-Driven Pollution Forecasting – Sustainable Urban Planning – Intelligent Air Quality Analytics – Machine Learning for Environmental Monitoring – Smart City Air Pollution Control – Predictive Environmental Data Analysis – IoT-Based Air Monitoring System – Cloud-Based Air Quality Forecasting – Data-Driven Air Pollution Management – Real-Time Atmospheric Condition Tracking – Public Health and Air Quality Awareness – Automated Air Quality Alerts – Air Pollution Risk Mitigation – Smart Environmental Decision-Making – AI-Powered Air Quality Index Calculation – Sustainable Air Monitoring Solutions – Advanced Air Pollution Trend Analysis – Proactive Pollution Control Strategies – Environmental Data Intelligence – Digital Air Quality Monitoring Systems – Next-Generation Air Pollution Forecasting – Health-Centric Air Quality Insights – Urban and Industrial Pollution Assessment
