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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29201

IntelliView: An AI Based Mock Interview Platform

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29201

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29201

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.

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Authors

SU

Swati Uparkar

SH

Saurabh Hundare

VG

Varun Gazala

SC

Sarvesh Chaudhari

AJ

Ankush Jain

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Abstract

IntelliView is a groundbreaking platform that aids novice job seekers by harnessing the power of advanced AI and NLP technologies. It combines HTML, CSS, JavaScript, and the Deep Face method to offer a comprehensive real-time interview practice experience. Users can engage in text and video-based interviews and receive detailed feedback on their verbal and non-verbal communication skills. Additionally, the platform provides an audio analysis module that utilizes CNN LSTM to evaluate emotional states during interviews, offering valuable insights for improvement. Users can also take advantage of IntelliView’s resume builder to create personalized, professional resumes that cater to specific industry standards. The platform’s seamless integration of AI and NLP technologies helps guide first-time job seekers in refining their communication techniques and understanding their emotional responses. By offering these transformative tools, IntelliView empowers users to approach the competitive job market with confidence and competence.

KEYWORDS

Interview Assessment DeepFace NLP Text based analysis Video-based analysis Resume Builder Audio based analysis

Cite This Article

Swati Uparkar, Saurabh Hundare, Varun Gazala, Sarvesh Chaudhari, Ankush Jain, "IntelliView: An AI Based Mock Interview Platform," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29201

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12/31/45403

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The authors declare no conflict of interest related to this research work.

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