Web Based Selector – Applicant Simulation Software

Authors: Mr. Rupesh Dhadwe, Mr. Abhishek More, Mr. Nilesh Darade, Mr. Abhishek Shingokar, Ms. Kanchan Pekhale

Country: India

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Abstract: This project develops a “Web Based Selector – Applicant Simulation Software” that helps users prepare for real-world job interviews through domain-specific mock sessions. Users can register, log in, and choose from technical domains like Machine Learning, Java, and Android. The system presents 10 domain-specific questions, and users respond via audio while machine learning algorithms analyze their facial expressions and voice tone. Facial analysis detects emotions such as confidence and nervousness by examining features like smiles and eye contact, while voice analysis evaluates speech rate, pitch, and tone variations. After the interview, the system generates a detailed performance report with feedback on verbal responses, non-verbal cues, and confidence levels, along with suggestions for improvement to enhance interview skills.

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Paper Id: 232514

Published On: 2025-05-24

Published In: Volume 13, Issue 3, May-June 2025

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