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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/3958
Title: Weather App
Authors: Gupta, Parth
Singh, Brijendra Pratap
Issue Date: 2023
Publisher: CYBER TECH PUBLICATIONS
Abstract: This project report details the development of a weather application in C++ that aims to provide users with real-time weather information based on their inputted city. The application utilizes an Application Programming Interface (API) to fetch and display essential weather data, including temperature and other relevant details. Throughout the development process, the report addresses challenges encountered and the strategies employed to overcome them, contributing to a thorough exploration of the project's evolution. A dedicated section on testing and validation underscores the reliability and accuracy ofthe weather data provided by the application, ensuring users can depend on the information presented. As the project aims to enhance user experience, the report concludes with reflections on potential future improvements and expansions. This includes considerations for additional features or refinements that could further elevate the application's functionality, ensuring its adaptability to evolving user needs. Transitioning to the second part of the text, the narrative explores the synthesis of software development and real-world data integration in the context of creating a dynamic weather application using C++. The project's motivation is underscored by the universal demand for immediate and accurate weather updates, reflecting the intersection of technology and our daily lives. The core of the project lies in the C++ program designed for fetching, processing, and displaying weather data for a specified city. The robustness of C++ and the versatility of the cURL library are highlighted as pivotal components of the implementation. The code snippet demonstrates the encapsulation of weather- related information in the Weather Data class, extended by the dynamic linked list structure of the Weather Data List class for efficient data management
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/3958
ISSN: 978-93-5053-899-9
Appears in Collections:Book Chapters_ SCSET

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