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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 8 | Month- August 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

CareerAI: An Intelligent AI-Driven Career Guidance and Coaching Platform

  Authors

  Muskaan Fatima,  Mohmmed Abbas Qureshi,  Sridhar gummalla

  Keywords

artificial intelligence, career guidance, career coaching, generative AI, resume optimization, interview preparation, personalized recommendation system, career development.

  Abstract


Career planning and career development are becoming increasingly complex due to the rapidly changing demands of the sector, technological progress and the evolving demands of the workforce. Traditional career guidance approaches often lack personalization, scalability and real-time adaptability, which makes it difficult for students and professionals to make informed career choices. This document presents CareerAI, an intelligent AI-driven career guidance and coaching platform for personalised career advice, industry insights, resume optimization, interview preparation and cover letter generation using generative artificial intelligence. The proposed platform integrates large language models with user profile analysis to provide tailored career guidance based on educational background, skills, interests, experience and career objectives. The system uses Gemini AI to produce sector-specific insights, identify skills gaps, recommend learning paths and provide market-relevant career information. In addition, AI-powered modules for enhancing resumes and job interviews help users to improve employability and job readiness. The platform is developed with Next.js 15, React 19, Prisma ORM, PostgreSQL, Clustered Verification, Tailwind CSS, and Gemini AI. The experimental evaluation shows that the platform is effective in improving career planning effectiveness, resume quality, interview readiness and decision-making skills. The results show that AI-assisted career guidance can provide scalable and personalised support for professional development, while bridging the gap between academic qualifications and the expectations of the workplace.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2607199

  Paper ID - 311548

  Page Number(s) - b966-b982

  Pubished in - Volume 14 | Issue 7 | July 2026

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Muskaan Fatima,  Mohmmed Abbas Qureshi,  Sridhar gummalla,   "CareerAI: An Intelligent AI-Driven Career Guidance and Coaching Platform", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 7, pp.b966-b982, July 2026, Available at :http://www.ijcrt.org/papers/IJCRT2607199.pdf

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Call For Paper August 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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