
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
2025
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Prebot Intelligent Interview Simulation System
Author(s) | SUBERSON P, SIVAMOORTHI M, SHYAM KUMAR R |
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Country | India |
Abstract | The PREBOT Intelligent Interview Simulation System is an advanced tool designed to enhance interview preparation by equipping users with skills and confidence for success. Utilizing natural language processing (NLP) and machine learning algorithms, PREBOT simulates industry-specific interview scenarios and engages users in dynamic, interactive conversations. The system adapts questions based on user performance and analyzes verbal and non-verbal cues in real-time to provide personalized feedback on communication clarity, body language, and content relevance. PREBOT offers a comprehensive learning experience, including detailed performance metrics that allow users to track their progress. Its architecture incorporates advanced algorithms and a user-friendly interface, developed through extensive testing and iterative refinement. User studies demonstrate significant improvements in preparedness and confidence levels, underscoring its effectiveness as a training tool. This system provides personalized, real-time feedback while reducing interview anxiety. By incorporating diverse questions and interactive elements, PREBOT offers tailored practice for various industries and roles. It contributes to personal development and education by demonstrating the transformative role of AI in skill-building and career readiness. |
Keywords | AI, NLP, Interview Simulation, Adaptive Feedback |
Field | Engineering |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-04-15 |
Cite This | Prebot Intelligent Interview Simulation System - SUBERSON P, SIVAMOORTHI M, SHYAM KUMAR R - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3365 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.3365 |
Short DOI | https://doi.org/g9fmw7 |
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IJSAT DOI prefix is
10.71097/IJSAT
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