International Journal of Innovative Research in Computer and Communication Engineering

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TITLE Smart Air Quality Analytics and Visualization System using API Integration
ABSTRACT Air pollution is a major environmental and public health challenge caused by rapid urbanization, industrial growth, and increasing vehicular emissions. Continuous monitoring and effective communication of air quality information are essential to reduce health risks and raise public awareness. This research presents a web-based Air Quality Index (AQI) monitoring system that provides real-time air quality information using reliable environmental APIs. The proposed system retrieves live AQI data and pollutant concentrations such as PM2.5, PM10, NO₂, SO₂, CO, and O₃, and presents them through an intuitive, user-friendly web interface with color-coded indicators and health-based recommendations. Unlike traditional AQI monitoring approaches that rely on static monitoring stations and delayed reporting, the developed platform emphasizes real-time accessibility, scalability, and ease of use. The system also supports location-based queries and clear visualization, enabling users to quickly understand current air quality conditions and associated health impacts. Analysis of the system shows improved efficiency, reduced infrastructure dependency, and enhanced public awareness compared to conventional AQI dissemination methods. The proposed solution is suitable for smart city applications, environmental awareness initiatives, and decision support for the general public.
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AUTHOR HEMANTHRAJ K L, SUJAY P MAHADIKAR, AKASH L, SHIVPRAKASH G P, DR. H S SARASWATHI Student, Dept. of IS&E, JIT, Davangere, India Associate professor, Dept. of IS&E, JIT, Davangere, India
VOLUME 180
DOI DOI: 10.15680/IJIRCCE.2026.1401025
PDF pdf/25_Smart Air Quality Analytics and Visualization System using API Integration.pdf
KEYWORDS
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