MedSay-Tamil:一个帮助母语泰米尔语者的药理学翻译移动应用程序

J. Joshua Alfred, V. Sai Srivathsan, A. Sasithradevi, S. Roomi
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引用次数: 0

摘要

用药错误是死亡的主要原因之一,因为受害者服用了错误的药物或剂量,可能导致慢性影响。用药错误的一个原因是由于语言障碍造成的信息误解。有必要翻译医药贴中的信息,以提高用户的认识。为此,我们提出了一个使用Flutter和Dart的创新移动应用程序,使所有母语为泰米尔语的人都能从平板电脑上获取信息。该应用程序旨在通过网页抓取技术,彻底改变人们从平板电脑上获取信息的方式,如一般信息、剂量、副作用等。凭借其先进的光学字符识别(OCR)引擎,该应用程序可以准确地识别图像中的文本,并将其转换为可编辑的文本。该应用程序的用户友好界面采用最先进的创新技术,主要针对母语为泰米尔语的人,使用Flutter框架构建,允许用户快速轻松地扫描和处理字符串。然后,应用程序翻译并显示泰米尔语中的信息,并提供文本到语音的功能。经过测试,该应用程序在检索图像中有关平板电脑的相关信息方面显示出90%的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MedSay-Tamil: A Pharmacological-Translator Mobile Application for the aid of Native Tamil Speakers
Medication error is one of the major causes of death, as victims intake the wrong medicine or dosage which can cause chronic effects. One such cause of medication error comes from the misinterpretation of information due to language barrier. There is a need for translation of information in medicinal strips to create awareness to the user. For this purpose, we propose an Innovative Mobile Application Using Flutter and Dart, empowering all native-Tamil speakers who find difficulty in acquiring information from tablet strips. The app is designed to revolutionize the way people obtain information from tablet strips such as general information, dosage, side effects, etc. with the help of web scraping. With its advanced Optical Character Recognition (OCR) engine, the app can accurately recognize text from images and convert it into editable text. The app’s user-friendly interface with its state-of-art innovation mainly focusing native-Tamil speakers, built using the Flutter framework, allows users to quickly and easily scan and process strings. The application then translates and displays the information present in the Tamil language along with a text-to-speech feature. Upon testing, the application displayed a 90% accuracy in retrieving relevant information about the tablet present in images.
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