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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
InterviewAce: Intelligent Web Platform For Interview Readiness And Skill Enhancement
Authors
Raashi Lokhande, Prof. Sheetal Aher, Sushrut Wankhade, Revant Katuri, Tulsi Jadhav
Keywords
Artificial Intelligence (AI) , Interview Preparation Platform , Mock Interview System , Natural Language Processing (NLP) Gemini API , Data Analytics , Performance Evaluation , Aptitude and Coding Assessment , Machine Learning in Education , Web-based Learning Platform , AI-driven Feedback System , Placement Readiness , Employability Enhancement , Personalized Learning , Adaptive Assessment
Abstract
Many students struggle to perform effectively in placement interviews due to limited exposure to real-world interview environments and lack of personalized feedback. The challenge is to develop an AI-powered interview preparation platform that simulates real interview experiences through mock interviews, coding challenges, and aptitude tests, while providing data-driven feedback and progress analytics. This system aims to help students identify their strengths and weaknesses, enhance their communication and technical skills, and improve their overall interview readiness.
IJCRT's Publication Details
Unique Identification Number - IJCRT2511120
Paper ID - 296098
Page Number(s) - b45-b52
Pubished in - Volume 13 | Issue 11 | November 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Raashi Lokhande, Prof. Sheetal Aher, Sushrut Wankhade, Revant Katuri, Tulsi Jadhav, "InterviewAce: Intelligent Web Platform For Interview Readiness And Skill Enhancement", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 11, pp.b45-b52, November 2025, Available at :http://www.ijcrt.org/papers/IJCRT2511120.pdf
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Volume 14 | Issue 3
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Volume 14 | Issue 3
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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