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MAPA – MOCK AI INTERVIEW PLATFORM WITH ATS SYSTEM

AUTHORS:
Gokul P , Thirsanth G ,Laraib Khan , Mohammed Kashif
Mentor
Dr Shivakumar C
Affiliation
Department of computer science Jain University
DOI: 10.55041/ijsmt.v2i2.058
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
In this article we’ll go over how we intend to use an AI interview platform with an ATS that helps the user in securing the placement or gain skills or even change the resume according to the job description. It has 3 modules – ATS Module, Mock AI Interview Module and Admin module. The ATS module handles the resume evaluation and checks for the missing keywords in comparison with the job description. The Mock AI Interview Module handles all the interview departments such as HR, Technical, Coding, and an emotion detection system that measures a candidate's stress levels, confidence, and communication abilities by examining their voice and facial expressions. The admin module handles all the user data and backend parts of the platform.
Keywords
AI mock interview interview practice platform resume ATS checker AI interview coach job interview simulator applicant tracking system resume optimization tool automated interview feedback AI career assistant interview preparation tool resume screening software mock interview app AI-powered hiring tool job seeker platform smart resume analyzer.
Article Information
PUBLICATION DETAILS
Review Type:
0
License:
CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 19 2026
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Kashif, G. P. ,. T. G. ,. K. ,. M. (2026). MAPA – Mock AI Interview Platform with ATS System. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.058

Kashif, Gokul. "MAPA – Mock AI Interview Platform with ATS System." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.058.

Kashif, Gokul. "MAPA – Mock AI Interview Platform with ATS System." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.058.

References

  1. Lap-Kei Lee, Eric Ho Chan, Kyler Kin-Lik Tong, Nardo Kwun-Hei Wong, Ben Shing-Yan Wu, Yin-Chun Fung, Edmond King Sing Fong, U Leong Hou and Nga-In Wu, “Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations,” 2024 International Symposium on Educational Technology (ISET).

  2. Yi-Chi Chou, Felicia R. Wongso, Chun-Yen Chao and Han-Yen Yu, “An AI Mock-interview Platform for Interview Performance Analysis,” 2022 10th International Conference on Information and Education Technology (ICIET).

  3. Prabhat Kumar Mishra, Arun Kumar Arulappan, In-Ho Ra, Thanga Mariappan L, Gina Rose G and Young-Seok Lee, “AI-Driven Virtual Mock Interview Development,” 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS).

  4. Balasaheb Jadhav, Avadhut Sawant, Arnav Shah, Pranamya Vemula, Abhijeet Waikar and Srushti Yadav, “A Comprehensive Study and Implementation of the Mock Interview Simulator with AI and Pose-Based Interaction,” 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU).

  5. Rubi Mandal, Pranav Lohar, Dhiraj Patil, Apurva Patil and Suvarna Wagh, “AI-Based Mock Interview Evaluator: An Emotion and Confidence Classifier Model,” 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS).

  6. Joel Manuel C J, Maria Sabi, Merene Benson, Gokul Baburaj and Saritha S, “Q&AI: An AI Powered Mock Interview Bot for Enhancing the Performance of Aspiring Professionals,” 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI).

  7. Jyotsna Vilas Barpute, Onkar Wattamwar, Suhelali Pakjade and Sanika Diwate, “A Survey of AI-Driven Mock Interviews Using GenAI and Machine Learning (InterviewX),” 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS).

  8. Dulmini Yashodha Dissanayake, Venuri Amalya, Raveen Dissanayaka, Lahiru Lakshan, Pradeepa Samarasinghe, Madhuka Nadeeshani and Prasad Samarasinghe, “AI-based Behavioural Analyser for Interviews/Viva,” 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS).

  9. Shoeb Javed and Anamika Yadav, “A Study on Virtual Interview Techniques Using Artificial Intelligence,” 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).

  10. Sanchit Juneja and Vikas Kumar, “Artificial Intelligence Based Interview Preparation Assistant,” 2022 International Conference on Data Science and Information System (ICDSIS).

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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