Chethana C Viraktamath,
K. Shashank,
Kshama S.D,
Madan N.R,
Sunil Kumar H.R.,
- Student Department of Computer Science and Engineering, PES Institute of Technology and Management, Shivamogga Karnataka India
- Student Department of Computer Science and Engineering, PES Institute of Technology and Management, Shivamogga Karnataka India
- student Department of Computer Science and Engineering, PES Institute of Technology and Management, Shivamogga Karnataka India
- Student Department of Computer Science and Engineering, PES Institute of Technology and Management, Shivamogga Karnataka India
- Assistant Professor Department of Computer Science and Engineering, PES Institute of Technology and Management, Shivamogga Karnataka India
Abstract
AI-based mock interview platform that acts as a bridge between real interviews and preparation. The system evaluates users based on emotions, confidence, and knowledge. Emotions are analyzed using a deep learning CNN algorithm to classify facial expressions. Confidence is also a main feature in interview which is assessed through speech recognition using natural language processing. Knowledge assessment involves taking online tests and answering along with the description. This platform aims to reduce stress and anxiety before actual interviews while enhancing candidate confidence and performance. This innovative project represents a significant advancement in interview preparation, AI technology, and personal development, with the potential to positively impact individuals’ career success.
Keywords: Emotion and confidence analysis, artificial intelligence, machine learning, CNN, Interview preparation, knowledge assessment.
[This article belongs to Journal of Mechatronics and Automation(joma)]
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References
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Journal of Mechatronics and Automation
| Volume | 11 |
| Issue | 02 |
| Received | May 6, 2024 |
| Accepted | May 20, 2024 |
| Published | August 23, 2024 |