Nithin Sameer Yerramilli, N. Johnson, Omsri Sainadh Reddy Y, P. Monika, P. S
{"title":"Automatic Exam Answer Checker using Optical Character Recognition and Sentence Embedding","authors":"Nithin Sameer Yerramilli, N. Johnson, Omsri Sainadh Reddy Y, P. Monika, P. S","doi":"10.1109/CENTCON52345.2021.9688008","DOIUrl":null,"url":null,"abstract":"The old-fashioned manual system of answer script correction is tiresome and time-consuming. Human resources are consumed and wasted. The automatic exam answer checker evaluates the answers and efficiently allocates the marks. Exam management authorities have access to post questions and provide an answer key based on which the system evaluates solutions. The system uses several technologies such as Cloud computing, Optical Character Recognition, and Web Development and Hosting. The handwritten answers are uploaded, or typed solutions are sent to the system. The responses are evaluated according to the answer key provided by the exam authorities. Solutions are uploaded on a webpage where students can login using unique credentials and view their results. The system is user friendly and efficient","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENTCON52345.2021.9688008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The old-fashioned manual system of answer script correction is tiresome and time-consuming. Human resources are consumed and wasted. The automatic exam answer checker evaluates the answers and efficiently allocates the marks. Exam management authorities have access to post questions and provide an answer key based on which the system evaluates solutions. The system uses several technologies such as Cloud computing, Optical Character Recognition, and Web Development and Hosting. The handwritten answers are uploaded, or typed solutions are sent to the system. The responses are evaluated according to the answer key provided by the exam authorities. Solutions are uploaded on a webpage where students can login using unique credentials and view their results. The system is user friendly and efficient
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