Year: 2025
Type: article
Abstract: Preparation for interviews is an important element of career progress, especially among students pursuing studies in Computer Science, Information Technology, and MCA. Standard preparation techniques including self-study, coding websites, and bootcamps are not aligned with a comprehensive learning process featuring real-time input, peer interaction, and guide support. The Interview Preparation System aims to fill these lacunae by providing a web-based system that consolidates multiple preparation methods onto a single platform. The system comprises aptitude tests, technical problem-solving exercises, psychometric tests, and formal group discussions. Students can schedule group discussion slots, obtain mentor feedback, and monitor progress over time. Teachers and mentors can observe student performance and provide useful feedback to improve preparation. By creating a model that balances autonomous learning with structured mentorship, this system seeks to enhance technical skills along with communication competence so that students are highly equipped for future professions. In this paper, the design and operation of this system along with the potential benefits it has as a means for interview preparation is explained. Index Terms—interview preparation, aptitude tests, technical evaluation, psychometric analysis, group discussion.
Authors: Rince Joseph AS, Rinil Johns, Rinku Theres Jose, Riya Ann Sojan, Fr Siju John
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W6949810648
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