Virtual Job Assistance

Year : 2025 | Volume : 12 | Issue : 03 | Page : 1 11
    By

    G. Shivaji Rao,

  • Mohamed Anas K,

  • Mohamed Asfaq Ali A,

  • Nivash R.,

  • Praveen Kumar Parida,

  1. Assistant Professor, Department of Computer Science and Engineering (Cyber Security), Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  2. Student, Department of Computer Science and Engineering (Cyber Security), Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  3. Student, Department of Computer Science and Engineering (Cyber Security), Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  4. Student, Department of Computer Science and Engineering (Cyber Security), Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  5. Student, Department of Computer Science and Engineering (Cyber Security), Karpagam College of Engineering Coimbatore, Tamil Nadu, India

Abstract

In today’s competitive job market, interviews are a critical gateway to employment, but many candidates struggle with effective preparation. Traditional methods, such as mock interviews with friends or career counselors, often fail to provide detailed feedback or replicate real-world interview dynamics. The “AI-Powered Virtual Job Interview Simulator” addresses these challenges by leveraging advanced technologies, such as Natural Language Processing (NLP), to create a realistic and engaging environment for interview practice. The system provides role-specific questions tailored to the user’s career aspirations and evaluates responses in real-time. By analyzing user input with sentiment analysis and coherence checks, it offers constructive feedback that highlights strengths and identifies areas for improvement. The simulator’s adaptive learning system ensures continuous user development by dynamically adjusting question difficulty based on performance. Its integration of machine learning algorithms enables personalized feedback that evolves as users interact with the platform. Designed for accessibility, the system features an intuitive interface, making it suitable for users of all technical skill levels. Ultimately, this innovative tool equips candidates with the skills and confidence needed to excel in interviews, bridging the gap between preparation and success in the professional world. By combining practicality with cutting-edge technology, the simulator stands as a transformative solution for modern career preparation.

Keywords: Virtual job interview, natural language processing (NLP), real-time interview feedback, role-specific interview questions, AI-driven candidate evaluation

[This article belongs to Journal of Mechatronics and Automation ]

How to cite this article:
G. Shivaji Rao, Mohamed Anas K, Mohamed Asfaq Ali A, Nivash R., Praveen Kumar Parida. Virtual Job Assistance. Journal of Mechatronics and Automation. 2025; 12(03):1-11.
How to cite this URL:
G. Shivaji Rao, Mohamed Anas K, Mohamed Asfaq Ali A, Nivash R., Praveen Kumar Parida. Virtual Job Assistance. Journal of Mechatronics and Automation. 2025; 12(03):1-11. Available from: https://journals.stmjournals.com/joma/article=2025/view=234986


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Regular Issue Subscription Original Research
Volume 12
Issue 03
Received 25/03/2025
Accepted 01/09/2025
Published 15/09/2025
Publication Time 174 Days
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