Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IntelliHire is an AI-powered interview preparation and simulation platform designed to provide personalized, company-specific, and role-oriented guidance for job seekers. The system allows users to input their target company and job role, based on which it automatically generates a structured preparation roadmap. This includes day-wise study plans, relevant technical subjects, aptitude modules, human resource (HR) topics, and revision strategies tailored to individual goals. In addition to preparation guidance, the platform generates realistic and original interview questions aligned with actual company patterns and role expectations. These questions cover coding problems, computer science fundamentals, behavioral questions, and scenario-based assessments, ensuring a comprehensive learning experience. A key feature of IntelliHire is its AI Mock Interview Module, which simulates real-time interview scenarios. The system conducts live interviews, asks dynamic questions, evaluates user responses, and provides detailed feedback on strengths, weaknesses, clarity, depth of knowledge, and overall performance. Furthermore, the platform includes features such as progress tracking, user dashboards, session history, and personalized insights, enabling continuous improvement. By integrating intelligent guidance, real-time assessment, and performance analytics, IntelliHire offers a complete and effective solution for end-to-end interview preparation, replacing traditional generic learning approaches with a highly customized experience.
Keywords:
AI Interview, MERN Stack, Mock Interview, Online Assessment, Proctoring, Personalized Learning, CSV Question Upload, Code Evaluation, Interview Preparation System
Cite Article:
"IntelliHire – AI-Powered Interview Simulation and Preparation System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a401-a409, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604055.pdf
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ISSN:
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