Weather Forecast Prediction: A Detailed Approach for Assessing and Analyzing Meteorological Information
Jayashree khairnar khairnar
Paper Contents
Abstract
This study outlines the creation and design of the Advanced Weather App, a web-based platform that provides real-time, responsive weather information for cities across the globe. Created with HTML, CSS, and JavaScript, the application leverages the OpenWeatherMap API to retrieve and display live weather information, such as temperature, humidity, wind speed, UV index, and air quality index. (AQI), and sunrisesunset times. Notable features include forecasts based on location, a dark mode for an improved user experience, and the ability for users to save their preferred cities continuously. The application prioritizes user-friendliness and performance, featuring a streamlined interface and a design that adjusts to various devices. This paper details the implementation framework, strategies for API integration, challenges faced during development, and the potential uses of the app in both personal and professional weather observation scenarios.Keywords: Weather Forecasting, OpenWeatherMap API, Dark Mode, Air Quality Index (AQI), Location-Based Services.
Copyright
Copyright © 2025 Jayashree khairnar. This is an open access article distributed under the Creative Commons Attribution License.