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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64320
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar

Computer Science And Engineering
Ashokrav Mane Group of Institutions,Vathar
The AI-Based Virtual Interviewer System is a smart web-based application designed to help students and job seekers improve their interview skills through automated practice sessions. The system uses Artificial Intelligence, Machine Learning, and Natural Language Processing to simulate real interview scenarios, analyze user responses, and provide instant feedback on communication, confidence, and answer accuracy. Developed using HTML, CSS, JavaScript, Python, and Flask, the platform also includes features such as speech recognition,resume-based question generation, multilingual support, and performance tracking. The system offers an accessible and cost-effective solution for interview preparation, helping users build confidence and enhance their professional skills.
KEYWORDS
The AI-Based Virtual Interviewer System is an AI-powered platform that improves interview preparation using Artificial Intelligence, Machine Learning, and Natural Language Processing. It simulates real interview environments for practicing technical and HR interviews in an interactive way. The system reduces the need for traditional coaching by offering automated questions, real-time analysis, and instant feedback. It helps users enhance communication skills, confidence, and overall performance through continuous practice. With speech recognition and intelligent evaluation, it provides a realistic interview experience and shows the effective use of AI in education and career development.
1. Artificial Intelligence: A Modern Approach – Reference for Artificial Intelligence concepts and intelligent systems. 2. Python Crash Course – Used for understanding Python programming and backend development. 3. Learning Web Design – Reference for HTML, CSS, and web interface design. 4. Natural Language Processing with Python – Used for Natural Language Processing and text analysis concepts. 5. Flask Official Documentation – Reference for Flask framework and backend integration. 6. Python Official Documentation – Reference for Python programming and libraries. 7. MDN Web Docs – Reference for HTML, CSS, and JavaScript concepts. 8. W3Schools – Reference for frontend and backend web development tutorials. 9. Scikit-learn Documentation – Reference for Machine Learning implementation. 10. NLTK Documentation – Reference for Natural Language Processing techniques. 11. Research papers and journal articles related to Artificial Intelligence, Machine Learning, Natural Language Processing, and Virtual Interview Systems were also referred to during the development of the project.
Publication Date
5/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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