AI-Driven Virtual Interview Coach Using Deep Learning
Shivesh Tiwari
Scholar, Department of Computer Science and Engineering (AI & ML) , KIPM College of Engineering and Technology, U.P., India
Shubham Singh
Scholar, Department of Computer Science and Engineering (AI & ML), KIPM College of Engineering and Technology, U.P., India
Halim Khan
Scholar, Department of Computer Science and Engineering (AI & ML), KIPM College of Engineering and Technology, U.P., India
Badal Singh
Scholar, Department of Computer Science and Engineering (AI & ML), KIPM College of Engineering and Technology, U.P., India
Sunny Yadav
Head of Department, Department of Computer Science and Engineering (AI & ML), KIPM College of Engineering and Technology, U.P., India
📌 DOI: https://doi.org/10.63920/tjths.52025
🔑 Keywords: AI interview preparation, resume analysis, technical assessment, HR interview, voice-based inter-action
📅 Publication Date: 21 April 2026
📜 License:
This work is licensed under a Creative Commons Attribution 4.0 International License
- Share — Copy and Redistribute the material
- Adapt — Remix, Transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Abstract:
This article describes an interview preparation system that collects and evaluates candidates objectively. The system automates the interview process to enhance the recruitment using the AI assistance. This solution comprises three key technologies as: real time emotion detection based on Convolutional Neural Networks, natural language processing for a resume summary and speech recognition for evaluation of the response. The system is integrated with an ATS for the screening of resumes, An HR interview simulator for HR interviews on the area of effective communication and behavioral skills and a technical test for evaluating the knowledge in a particular field. Through extensive testing, the platform demonstrates significant improvements in both candidate preparation efficiency and performance quality compared to traditional methods. The system also helps the candidates to prepare for interviews since systems ability to automatically generate questions, instant feedback respondents and offer details of an individual performance. The research presents an unbiased and scalable answer that meets the intersection of the traditional interview hiring techniques with the modern technology capabilities for the AI aided recruitment
Download Full PDF Paper
📖 How to Cite
Shivesh T., Shubham S., Halim K.,Badal S., Sunny Y. (2026). AI-Driven Virtual Interview Coach Using Deep Learning. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52025
📊 Article Metrics
References
[1] M. Loogesh, C. R. Sridhar, and B. Tamizharasan, “Smart Servo Controlled Automatic Voltage Stabilizer,” Bannari Amman Institute of Technology, Anna University, May 2022.
[2] R. G. Jadhav, N. N. Varunkar, V. S. Tirodkar, G. S. Daddikar, and M. S. Shankar, “Design and Implementation of Servo Voltage Stabilizer for Commercial and Industrial Application,” International Journal of Engineering Development and Research (IJEDR), vol. 8, no. 1, 2020.
[3] H. H. Aye, “Design and Construction of Control System for Automatic Voltage Stabilizer,” International Journal of Trend in Scientific Research and Development (IJTSRD), vol. 3, no. 1, Nov–Dec 2018.
[4] G. N. Kumar, “Design of a Low-Cost Servo Controlled Voltage Stabilizer,” International Journal of Research in Engineering & Technology, vol. 4, no. 3, pp. 43–46, Mar. 2016.
[5] M. S. Alamgir and S. Dev, “Design and Implementation of an Automatic Voltage Regulator with High Precision and Proper Hysteresis,” International Journal of Advanced Science and Technology, vol. 75, 2015.
[6] S. Suresh and R. Prakash, “Microcontroller-Based Servo Voltage Stabilizer,” International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 9, 2014.
[7] P. Kumar and R. Singh, “Design and Simulation of Automatic Voltage Stabilizer Using MATLAB/Simulink,” International Journal of Electrical Engineering, vol. 2, no. 3, 2013.
[8] M. R. Islam and A. K. M. S. Alam, “Performance Analysis of Servo Motor Controlled Voltage Stabilizer,” International Journal of Electrical Power Systems, vol. 1, no. 2, 2012.