Google image suggestions, extension for unfamiliar terminologies

Khalid, Ammarah; Khan, Wafa Qaiser; Khan, Reema Qaiser; Memon, Haji Muhammad Paryal

doi:10.1109/icict.2017.8320158

Cited by 1 publication

(1 citation statement)

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“…The Library of Congress has also developed a model for evaluating digital file formats based on a conceptual framework of service levels. By considering both global/community and local/institutional standards, this framework helps define the extent to which a library can manage a particular format over its lifecycle [28] [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Image Processing and Natural Language Processing Based Digitalized Document Generator

Thilakarathne U.T,,

R.M.H.M,

V.P

et al. 2023

IRJIET

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The proposed application aims to provide users with advanced document conversion and classification capabilities, as well as convenient voice command capabilities. The image-to-text conversion feature allows users to convert handwritten documents quickly and easily into digitalized text files directly from their device. The app uses powerful image recognition algorithms to accurately recognize text and convert it into editable digital text. Speech-to-text functionality enables users to convert spoken words into digital text files with high accuracy and speed. Additionally, the app includes a document classification feature that automatically identifies document types based on their content. This feature uses machine learning algorithms to analyze text and classify it into one of several categories. B. Economics, computer science, engineering, etc. The voice command feature allows users to operate the app with their voice, making it easy to initiate document conversion and classification tasks. Overall, this web application a comprehensive document digitization and management solution with a powerful feature set that can be accessed with simple voice commands.

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Section: Literature Reviewmentioning

confidence: 99%