AI Based Interview Coach

However, many students or applicants tend to underperform in such situations since they do not know how to express their thoughts properly and tend to feel nervous due to stress. At the moment, there are certain techniques for training before interviews. They include working through the standard set of interview questions or using some basic online tools. Nevertheless, the aforementioned techniques fail to provide users with personalized feedback in terms of speech and its delivery. The proposed project is about developing a unique AI-based interviewing system for helping users prepare for job interviews in a more effective manner. Such an interview training platform will allow analyzing user responses and evaluating them. The focus will be made on the following aspects: clarity of speech, tone of voice, body language, and facial expression. What distinguishes this solution from others? In particular, the use of advanced voice analysis technologies and face recognition algorithms will enable providing users with more detailed and personalized feedback. Besides, suggestions provided by such software will be quite specific and helpful to those who want to succeed in the future.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20447604
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Based Interview Coach

Rayana Aldulaijan, Danah Aljowaiser, Aljoharah Alabdulmohsen, Ghadeer Aladwani et al.
Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

AI Based Interview Coach

Rayana Aldulaijan, Danah Aljowaiser, Aljoharah Alabdulmohsen, Ghadeer Aladwani, Raghad Alghamdi
article en

Abstract

However, many students or applicants tend to underperform in such situations since they do not know how to express their thoughts properly and tend to feel nervous due to stress. At the moment, there are certain techniques for training before interviews. They include working through the standard set of interview questions or using some basic online tools. Nevertheless, the aforementioned techniques fail to provide users with personalized feedback in terms of speech and its delivery. The proposed project is about developing a unique AI-based interviewing system for helping users prepare for job interviews in a more effective manner. Such an interview training platform will allow analyzing user responses and evaluating them. The focus will be made on the following aspects: clarity of speech, tone of voice, body language, and facial expression. What distinguishes this solution from others? In particular, the use of advanced voice analysis technologies and face recognition algorithms will enable providing users with more detailed and personalized feedback. Besides, suggestions provided by such software will be quite specific and helpful to those who want to succeed in the future.

Zenodo (CERN European Organization for Nuclear Research)
Imam Abdulrahman Bin Faisal University (SA)
Quality Education
Openalex Percentile: Top 4%
Emotion and Mood Recognition
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