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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4295
Title: WeatherWise: Predicting Tomorrow's Skies
Authors: Singh, Mukund Pratap
Gupta, Umesh
Goyal, Manan
Goyal, Ankush
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: The Weather Cast Web App leverages JavaScript's asynchronous capabilities to retrieve data efficiently, ensuring a smooth and uninterrupted experience for users. This asynchronous approach enables the app to update weather information seamlessly, reflecting changes as they occur. Combined with AP Tree's efficiency, this ensures that the app remains responsive even during periods of high user demand. One of the standout features of the Weather Cast Web App is its detailed and localized forecasts. By utilizing AP Tree for data organization, the app can provide hyper-localized weather predictions, offering users insights into weather conditions specific to their exact location. This level of granularity sets the app apart, catering to users who require precise and location-specific weather information for planning their activities.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4295
ISSN: 978-93-5053-911-8
Appears in Collections:Book Chapters_ SCSET

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