Authors : Anand Keshattiwar; Sahil Pawar; Mahesh Dongare; Anamika Shukla

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/yx6x59jz

Scribd : https://tinyurl.com/bdzaxkpr

DOI : https://doi.org/10.38124/ijisrt/26apr546

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The decline of air quality is one of the biggest public health problems in the 21st century, especially in South Asia where cities are growing quickly. This article is about Airlyze, a web-based environmental intelligence dashboard thatshows you the Air Quality Index (AQI) in real time, gives you a 24-hour weather forecast, and gives you personalized health risk assessments based on AI. The OpenWeather API sends the system real-time information about the weather. The Supabase (PostgreSQL) cloud database stores old data, and the Node.js and Express.js backend handles RESTful APIs. The Tailwind CSS and React.js front end make the interface easy to use and responsive. An AI engine that follows rules uses AQI, temperature, and humidity to make composite health risk scores. Recharts adds interactive historical data visualizations, customizable alert notifications, and the ability to compare multiple cities on the platform. Airlyze shows that you can keep an eye on the environment for people using a scalable, low-latency architecture on Vercel (frontend) and Render (backend). Tests show that the AQI is correctly linked to ground station data in real time, that the API response times are less than 2 seconds, and that the health risk categories work well in a variety of environmental conditions. The system helps a lot of people get AI-enhanced air quality data that they couldn't get before.

Keywords : React.js, Node.js, Supabase, the OpenWeather API, A Real-Time Dashboard, A Smart City, Monitoring the Air Quality Index (AQI), Environmental Intelligence, and Health Risk Assessment

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