Research Papers - Dept of Information Technology

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    Pre-Interview Reviewer Using Natural Language Processing for Software Engineers in The IT Industry : Pre-interview reviewer
    (IEEE, 2023-03-28) Shaman, M.A.M.; Samarasinghe, S.M.; Tharinda, D; Gamage, D.C.; Gamage, A
    The internet use to look for work has increased dramatically in recent years, and the number of job applicants has also increased. Numerous conventional websites promote online job postings using graphical and writeable ways. But the respective websites do not support HR (Human resources) in selecting the most suitable person from the candidates applying for the individual jobs. So, The HR department, faced with a large pool of applicants, faces the task of selecting the best one. To address this problem, we've developed a new web tool called "Pre-interview reviewer" that can be used by any company in the IT sector to quickly and easily narrow down the pool of applicants for software engineering roles. We use various methods to narrow down the pool of potential hires. We are training an algorithm to identify the best candidates by assessing the Curriculum Vitae (CV), providing selected questionaries relevant to the HR-provided job description requirement, and using leadership and teamwork skills to analyze questions. Using this system, the companies can utilize the pre-interview sections. Then time consummation will happen. Here, we take a natural language processing-based approach to creating a web app and web-dev languages, among others. In the end, this approach is meant to take advantage of the intricate nature of company recruitment.
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    PublicationOpen Access
    Virtual student advisor using NLP and automatic appointment scheduler and feedback analyser
    (www.ijser.org, 2016-02-02) Suvethan, N; Avenash, K; Huzaim, M. A. Q; Mathusagar, R; Gamage, M. P. A. W; Imbulpitiya, A
    Virtual Student Advisor is a research project that mainly concerned on addressing a comprehensive solution to overcome the difficulties faced by the academic departments of any academic institutions. According to the context, the role of the Student Advisor is focused on helping students with problems related to their academic carrier at the University and also answer the general queries made by students related to the procedures conducted at the Institute. This happens to be a tedious and a very inefficient task for the Academics as they have to repeat the same answers for many students and also students coming to meet the academic in ad hoc manner without proper appointments makes both the student and the academic face lot of problems. The Virtual Student Advisor system mainly consists of three components; A Natural language based inquiry management module, Priority wise automatic appointment scheduler and Feedback analyzer. The inquiry management module is responsible in handling user queries based on frequently asked questions. Users can get the answers for a query by entering the question in natural language. This is implemented as a mobile application as it is convenient for students to ask questions from any place at any time. The system will answer the queries and if it needs more explanation it will be directed to the relevant advisor. Auto appointment scheduler handles the student appointment requests and helps in managing the schedules. This will be accessed by both Academics to set their free time slots and the students to request an appointment according to urgency. Feedback analyzer handles the entire process of student feedback taken for each subject starting from preparing feedback forms till analyzing the collected information. The lecturer can prepare a feedback form using the question bank in the system and customize it further to fit the requirements and after conducting the feedback the system can process the data and provide reports on varies views of the data such as tables and pie charts. The system uses Natural Language Processing to handle students’ queries by tokenizing the sentences and extracting answers based on keywords and comparing synonyms WordNet lexical database. The appointment scheduler uses priority based Round Robin CPU Scheduling Algorithm to schedule the appointments according to urgency. The Virtual Student Advisor system consists of a mobile application for students and a web application for both students and lecturers to access the information and conducted their daily tasks related to academic administration effectively.