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Title: :  SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM
PaperId: :  27810
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27810
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Tharun RRajarajeshwari College of Engineering
Deekshith DRajarajeshwari College of Engineering
JK Gowtham Rajarajeshwari College of Engineering

Abstract

Computer Engineering
AI Monitoring, Online Interview System, Behavioral Analysis, Head Movement Detection, Facial Behavior Analysis, Tab-Switch Detection.
Virtual interviews have become a standard method for modern recruitment, offering convenience and efficiency for both candidates and employers. However, they also introduce a range of opportunities for dishonest practices such as off-screen assistance, impersonation, tab-switching, unauthorized background support, and intentionally manipulated behavior. Traditional video-conferencing platforms lack built-in mechanisms to analyze candidate conduct or detect suspicious activities in real time, which makes it challenging for recruiters to ensure fairness, authenticity, and transparency throughout the hiring process. SecuHire directly addresses this problem by providing a browser-based, AI-powered monitoring system capable of capturing, interpreting, and analyzing multiple behavioral cues during an online interview. The platform integrates four intelligent analysis modules: head-movement monitoring, facial-behavior assessment, tab-switch and screen-activity detection, and voice-clarity evaluation. Together, these modules examine a candidate’s posture, focus, engagement level, facial reactions, browsing patterns, and audio consistency. Each module generates structured logs and event summaries that contribute to an overall integrity assessment score, allowing recruiters to identify unusual, distracting, or potentially dishonest behaviors more accurately and efficiently. SecuHire is implemented using React.js for an intuitive and responsive front-end interface, while Node.js and Express.js handle backend services and data routing. TensorFlow.js and face-api.js enable lightweight, on-browser machine-learning analysis without requiring specialized hardware. MongoDB is used to store structured behavioral data and system logs. The entire process runs in real time within the browser and requires no additional software installation, making the solution accessible across devices and operating systems. Experimental evaluations show improved interview transparency, stronger fraud detection, and reduced recruiter workload. SecuHire ultimately offers a scalable, practical, and trustworthy solution for organizations seeking greater reliability and fairness in digital hiring environments.

Citations

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IJARIIE Tharun R, Deekshith D, and JK Gowtham . "SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 1283-1286
MLA Tharun R, Deekshith D, and JK Gowtham . "SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 1283-1286.
APA Tharun R, Deekshith D, & JK Gowtham . (2025). SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 1283-1286.
Chicago Tharun R, Deekshith D, and JK Gowtham . "SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 1283-1286.
Oxford Tharun R, Deekshith D, and JK Gowtham . 'SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 1283-1286. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SECUHIRE_–_AI_POWERED_INTERVIEW_DETECTION_SYSTEM_ijariie27810.pdf (Accessed : ).
Harvard Tharun R, Deekshith D, and JK Gowtham . (2025) 'SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 1283-1286IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SECUHIRE_–_AI_POWERED_INTERVIEW_DETECTION_SYSTEM_ijariie27810.pdf (Accessed : )
IEEE Tharun R, Deekshith D, and JK Gowtham , "SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 1283-1286, Nov-Dec 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/SECUHIRE_–_AI_POWERED_INTERVIEW_DETECTION_SYSTEM_ijariie27810.pdf [Accessed : ].
Turabian Tharun R, Deekshith D, and JK Gowtham . "SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver Tharun R, Deekshith D, and JK Gowtham . SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 1283-1286. Available from: https://ijariie.com/AdminUploadPdf/SECUHIRE_–_AI_POWERED_INTERVIEW_DETECTION_SYSTEM_ijariie27810.pdf
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