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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67972
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
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.
Department of Master of Computer Application
JCEI’s Jaihind Institude of Management and Research,Vadgaon Sahani
Department of Master of Computer Application
JCEI’s Jaihind Institude of Management and Research,Vadgaon Sahani
The Mock Interview System is an innovative AI-based platform designed to address the challenges faced by candidates in preparing for interviews and enhancing their performance in the highly competitive job market In many cases, interview preparation is hindered by the absence of practical, Role-based interview practice and feedback, further contributing to increased anxiety and poor performance.This project presents a solution that not only It replicates realistic interview scenarios and offers feedback that enables candidates to recognize their flaws and improve their presentation skills. candidates to gain technical and behavioral skills.The main objective of the system is to develop and implement practice interviews that are customizable according to the candidates’ abilities, knowledge, and preparation needs. dynamically to different roles such as Data Scientist, Machine Learning Engineer and more.The system uses Google Gemini Pro API to develop context-specific and challenging interview questions specific to varying roles and skill levels. It also employs Natural Language Processing (NLP) algorithms to evaluate responses and offer insightful feedback to enhance candidates’ interview skills.secure user authentication system that utilizes email verification and OTP-based two-factor authentication (2FA) to protect user information and ensure privacy. The system stores and evaluates previous interview data, which helps users track their progress and determine areas that need improvement. By automating the interview simulation process and providing timely, AI-based feedback, the Mock Interview System aims to bridge the gap between theoretical knowledge and practical application. The system is scalable, user-friendly, and cost-effective in reducing the time and expenses associated with traditional interview coaching. In conclusion, the proposed system seeks to enhance interview readiness, boost candidates’ confidence and facilitate a more effective and efficient recruitment process for employers and job seekers.
KEYWORDS
1. The Mock Interview System represents a significant step forward in interview preparation. forward in interview preparation technology by leveraging state-of-the-art AI capabilities and cutting-edge web development frameworks to provide a comprehensive and personalized approach to interview practice. It effectively replicates real-world interview scenarios by generating dynamic, role-specific questions while providing extensive feedback on technical competencies and overall performance. behavioral aspects. The robust security measures and The system’s flexible architecture supports a large number of users while maintaining the confidentiality and security of their personal information. Overall, this project demonstrates the transformative potential of AI in education and professional Development.
[1] Kumar, K. K., Kumar, S. G. B., Rao, S. G. R., & Sydulu, S. S. J. (2017, November). Safe and high secured ranked keyword search over an outsourced cloud data. In 2017 International Conference on Inventive Computing and Informatics (ICICI) (pp. 20-25). IEEE. [2] Kommineni, K. K., Pilli, R. B., Tejaswi, K., & Siva, P. V. (2023). Attention-based Bayesian inferential imagery captioning maker. Materials Today: Proceedings. [3] Kommineni, K.K., Prasad, A. Enhancing Data Security and Privacy in SDN-Enabled MANETs Through Improved Data Aggregation Protection and Secrecy. Wireless Pers Commun (2024). [4] Kommineni, K. K. ., & Prasad, A. . (2023). A Review on Privacy and Security Improvement Mechanisms in MANETs. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 90–99. Retrieved from [5] Sreechandra Swarna and Venkata Ratnam Kolluru (2024), Active Channel Selection by Sensors using Artificial Neural Networks. IJEER 12(4), 1466-1473. DOI: 10.37391/ijeer.120441. [6] Kumar, M. S., Vellela, S. S., Rao, G. R., Srinivas, B. R., Javvadi, S., SyamsundaraRao, T., & Kumar, K. K. (2024, September). An Interactive Healthcare Recommendation System Using Big Data Analytics. In 2024 3rd International Conference for Advancement in Technology (ICONAT) (pp. 1-6). IEEE. [7] Addepalli, T., Babu, K. J., Beno, A., Potti, B. M. K., Sundari, D. T., & Devana, V. K. R. (2022). Characteristic mode analysis of two port semi-circular arc-shaped multiple-input-multiple-output antenna with high isolation for 5G sub-6 GHz and wireless local area network applications. International Journal of Communication Systems, 35(14), e5257. [8] Srija, V., & Krishna, P. B. M. (2015). Implementation of agricultural automation system using web & gsm technologies. International Journal of Research in Engineering and Technology, 4(09), 385-389. [9] Potti, B., Subramanyam, M. V., & Prasad, K. S. (2013). A packet priority approach to mitigate starvation in wireless mesh network with multimedia traffic. International Journal of Computer Applications, 62(14). [10] Potti, B., Subramanyam, M. V., & Satya Prasad, K. (2016). Adopting Multi-radio Channel Approach in TCP Congestion Control Mechanisms to Mitigate Starvation in Wireless Mesh Networks. In Information Science and Applications (ICISA) 2016 (pp. 85-95). Springer Singapore.
Publication Date
10/15/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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