Advanced Interview Skills Development and Personalized Mentorship: Achieving Interview Excellence

Abstract

The current job landscape makes interviews essential for assessing candidates\' abilities and fit with potential employers. However, many applicants experience anxiety due to a lack of preparation and ineffective self-presentation. To address these issues, we introduce a Generative AI-based interview preparation platform that offers customized mock interviews in both voice and text formats. The system includes adaptive practice, realistic simulations, comprehensive feedback, performance analytics, and user-friendly access, all working together to enhance candidates\' interview readiness.

Introduction

The proposed Generative AI-based Interview Simulation and Performance Analysis system offers interactive mock interviews via text and voice. It dynamically generates context-aware questions by analyzing candidates’ resumes and personal information, adjusting question difficulty based on responses. After each session, it provides detailed feedback to help users improve.

The system uses Streamlit for the frontend, OllamaAPI to deploy a large language model locally for efficient response generation, and a dedicated API for parsing resumes to keep questions relevant. Voice features include VOSK and PyAudio for speech recognition and "xtts_v2" for natural text-to-speech output.

Unlike existing platforms, this system creates highly specific, role- and company-tailored questions and assesses both technical and behavioral skills, enabling a comprehensive evaluation. Built with technologies like LangChain, DeepAI, PyPDF2, NLTK, and Streamlit, it features an adaptive, user-friendly interface allowing iterative practice and progress tracking.

The application integrates advanced NLP and transformer-based models to understand and generate human-like language, supporting realistic conversational simulations with real-time performance analysis and feedback, enhancing interview preparedness for candidates.

Conclusion

The AI Interviewer web application significantly improves interview preparationbyovercomingthechallengesof conventional methods. It provides personalized practice opportunities aligned with specific job requirements and delivers continuous, detailed feedback, enabling candidates to systematically enhance their interviewingskills.Byleveragingadvanced AI technologies, this platform creates a dynamic and adaptable learning environment, promoting a more fair and effective hiring process.

References

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Copyright

Copyright © 2025 Mrs. N. Bhagya Lakshmi, Y. Chandana, G. Nomika Priya, G. Bhargavi, T. Jyothi, A. Gayathri Madhavi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.