Most project documents are designed based on templates. Some of the standard formats which are accepted worldwide are User Requirements Specification (URS), System Requirements Specification (SRS), System Test Cases (STC), User Acceptance Testing (UAT), Defect Track Log (DTL). This paper describes features and methods for document comparison with templates and score generation. The uploaded documents are categorized based on the research area. The approach described here exploits the results of recent progress in information extraction to compare a document with its template and calculates a score. Clustering the documents is an important task in applications that analyze the template structure of a document. Using keyword Extraction algorithms, documents are tagged under appropriate categories to enhance the accuracy of search results for the project documents. Thus the documents in the repository serves the purpose of reference for students who are searching for projects under a specific area. This research would also help the project mentors to check the template matching of the documents submitted by students. Also our system helps students who are seeking new project, faculty and other academicians to get involved in ongoing projects and also to obtain ideas in their respective research domain.
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Thushara M. G. and Dominic, N., “A template based checking and automated tagging algorithm for project documents”, Second International Conference on Computing Paradigms (International Journal of Control Theory and Applications), vol. 9, no. 10. pp. 4537-4544, 2016.