Development of a Lightweight Weather Forecasting Application Using Javascript
Authors
Satendra Pathrol
School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)
Jagdeep Singh
School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)
Manoj Kumar
School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)
Sachin Kumar
School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)
Sharad Kumar
School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)
Vikas Sharma
Department of Computer Applications, SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, U.P. India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1410000061
Subject Category: JavaScript
Volume/Issue: 14/10 | Page No: 484-489
Publication Timeline
Submitted: 2025-11-10
Published: 2025-11-10
Abstract
Abstract: Weather forecasting plays a vital role in various domains, including agriculture, transportation, and disaster management. This paper presents the development of a lightweight weather forecasting application using JavaScript, designed to provide real-time weather information through a web-based interface. The application leverages publicly available weather APIs for data retrieval and integrates responsive design principles to ensure usability across multiple platforms. By utilizing JavaScript’s asynchronous capabilities and client-side rendering, the system delivers an interactive and efficient user experience without requiring heavy server-side computation. The proposed solution emphasizes simplicity, portability, and accessibility, making it suitable for users with limited computational resources. Experimental evaluation demonstrates that the application achieves fast response times and reliable accuracy in displaying weather conditions, thus offering a practical and cost-effective tool for real-time weather monitoring.
Keywords
Weather forecasting, JavaScript, Web application, Real-time prediction, API integration, Lightweight systems
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References
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