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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4470
Title: Web Oasis: Elevating Internet Search with Visual Representation
Authors: Anika
Singh, Veer Vikram
Ghanshyam
Issue Date: 2023
Publisher: Rawat Prakashan
Abstract: WebOasis is an advanced information retrieval engine and web crawler that aims to improve user-experience when searching the internet. The platform offers a rich visual representation linked to user search queries by seamlessly integrating data from two well-known picture APIs: Unsplash and Microsoft Bing Images Search API. Furthermore, textual content is taken directly from Wikipedia, providing thorough and trustworthy information. With two separate panels for text and image display, respectively, and a search query field, the user interface is intuitively constructed. Users may easily type their searches and examine the data that has been retrieved. The picture panel provides a visually stimulating experience by showcasing a wide variety of images from Unsplash and Bing Images. In contrast, the text panel offers carefully selected data that has been taken from Wikipedia. A history panel that carefully logs the user's search history is incorporated into WebOasis to improve user engagement and experience. Because duplicate information is minimized because to the implementation's use of hashsets, browsing is made simple and effective. This guarantees that consumers see new and pertinent material in addition to improving system efficiency.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4470
ISSN: 978-93-82206-02-6
Appears in Collections:Book Chapters_ SCSET

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