1 K Srikanth, 2 S Sai divya, 3 M Manikanta, 4 Archana Yadav, 5 Afroz 03 09 The Air Quality vs Respiratory Illness Trend Comparison system is a data analytics and visualization platform designed to study the relationship between airquality conditions and aggregate respiratory illness trends Air pollution is influenced by pollutants such as particulate matter nitrogen dioxide sulfur dioxide ozone and carbon monoxide Monitoring these environmental indicators alongside respiratoryhealth data can help researchers and publichealth teams understand patterns that may require further investigation The proposed system collects airquality information such as PM25 PM10 NO SO CO ozone Air Quality Index AQI and measurement date and location It also uses appropriately aggregated and deidentified respiratoryhealth information such as reported respiratory cases hospital visits or outpatient counts The system processes these datasets and aligns them by location and time period for comparison The dashboard presents the analyzed information through interactive charts graphs maps tables and Key Performance Indicators KPIs Users can compare airquality measurements with respiratory illness trends across different months seasons locations or other approved categories Filters allow researchers and administrators to select specific pollutants regions time periods and health indicators The system can identify correlations trends and changes between environmental conditions and respiratoryhealth indicators For example users may observe whether periods with higher particulate pollution coincide with increased aggregate respiratory visits However observed relationships are presented as analytical associations rather than proof that air pollution directly caused a specific illness or individual health outcome Overall the Air Quality vs Respiratory Illness Trend Comparison system provides a centralized platform for combining environmental and publichealth data It can support research environmental monitoring publichealth planning and awareness activities Future enhancements can include realtime airquality feeds advanced statistical analysis predictive modeling geographic risk visualization anomaly detection and integration with additional environmental and health datasets Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026