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Smart Interview Coach: Voice-Based HR and Technical Chatbot

Authors:

Rhutuja Patil, Gayatri Patil, Manjiri Chumbhale, Sayali Lagad, Apurva Mane

Abstract—The growth of internet-based learning platforms has revolutionized the education system, making E-learning more accessible and widespread. However, with this shift toward digital education, maintaining academic integrity—especially during online examinations—has become a major concern. Traditional approaches to preventing cheating often fall short in virtual environments where physical invigilation is absent. Students appearing for online exams from remote locations are typically not monitored in real time, increasing the likelihood of unfair practices. To counter this, many educational institutions continue to conduct in-person exams, which goes against the core principle of flexible, remote learning. This project aims to address these challenges by developing an AI-driven system that ensures secure and fair online assessments. By incorporating multiple face recognition, object detection, emotion analysis, and voice-driven interview evaluations, the system identifies malpractice and provides a realistic simulation of technical and HR interviews. This automated approach not only strengthens exam monitoring but also enhances the overall credibility of E-learning platforms.

Index Terms—E-learning, Online Examination, Academic Integrity, Malpractice Detection, Face Recognition, Object Detection, Emotion Analysis, AI Interview Chatbot, Remote Proctoring, Real-time Monitoring.