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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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