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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Smart Mock AI: Interview engine and Job Recommendation Simulator |
| Authors Name: | Vinay Reddy , M.Lavanya , Ganesh , Shashi Vardhan , Rohith |
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IJRTI_212171
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| Published Paper Id: | IJRTI2605045 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The rapid growth of job seekers and competitive hiring processes has created a need for intelligent systems that can effectively prepare candidates and guide them toward suitable career opportunities. This paper proposes **Smart Mock AI**, an integrated interview engine and job recommendation simulator designed to enhance candidate readiness and optimize job matching. The system leverages artificial intelligence to simulate real-time interview scenarios, including technical, behavioral, and aptitude-based questions, providing dynamic feedback and performance analysis. It incorporates natural language processing (NLP) techniques to evaluate candidate responses and identify strengths and weaknesses. In addition, a recommendation engine is integrated to suggest relevant job roles based on user skills, performance metrics, and preferences. The job recommendation module utilizes machine learning algorithms to analyze user profiles and match them with appropriate job opportunities, improving decision-making efficiency. Recommender systems are widely used to filter and personalize choices based on user behavior and preferences ([Wikipedia][1]). The proposed system combines interview simulation with recommendation capabilities, offering a unified platform for career preparation. Experimental results demonstrate that Smart Mock AI improves interview performance, increases confidence among candidates, and provides accurate job recommendations. This system has potential applications in placement preparation, career counseling, and recruitment platforms, contributing to smarter and more efficient hiring ecosystems. |
| Keywords: | Artificial Intelligence, Machine Learning, Natural Language Processing, Mock Interview System, Job Recommendation System, Interview Simulation, Skill Assessment, Recommender Systems |
| Cite Article: | "Smart Mock AI: Interview engine and Job Recommendation Simulator", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a399-a404, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605045.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605045
Registration ID:212171
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a399-a404 Country: Mancherial, Telangana, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605045 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605045 |
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ISSN: 2456-3315
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