Integration of NaijaCaptcha System to an Intelligent PDF Reader with Translator

Abstract

Abstract The intelligent PDF reader with integrated translation capabilities is a software solution designed to enhance the accessibility and usability of PDF documents. This project addresses the challenges faced by users who need to interact with multilingual and scanned PDF files, providing a seamless experience for viewing, extracting, translating, and annotating text. The primary objectives of this project are to develop an application that allows users to upload and view PDFs, extract text using Optical Character Recognition (OCR), translate extracted text into various languages, annotate documents and integration of CAPTCHA system called NAIJACAPTCHA. These features are designed to improve efficiency, accessibility and security for users who need to manage and understand content in different languages and formats. Key features of the application include a PDF viewer for navigating documents, OCR for converting scanned images into editable text, translation of text into multiple languages, and annotation tools for highlighting and commenting on PDFs. The application also includes robust user authentication and authorization mechanisms to protect user data and maintain privacy. The system architecture consists of a user-friendly interface built with React, a backend developed using Flask, OCR capabilities provided by Tesseract, and translation services integrated via the Google Translate API. PostgreSQL is used for data storage, ensuring secure and efficient management of user data and application configurations. This study demonstrates the effective integration of various technologies to create a powerful tool that simplifies the management and interaction with complex PDF documents. The intelligent PDF reader with integrated translation capabilities contributes to a more inclusive and efficient digital environment, addressing the needs of users dealing with multilingual and scanned PDF documents.