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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 3 | Month- March 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

AI-BASED CAREER GUIDANCE SYSTEM

  Authors

  Mr. Govind Vishnuprasad Lokam,  Mr. Parth Sachin Patil,  Mr. Aditya Sudhir Kukade,  Mr. Avinash Nagnath Dhule,  Prof. Rabiya Aman Kothiwale

  Keywords

Machine Learning Algorithm, Google ML Kit, Cosine Similarity, Natural Language Processing, Career Recommendation System, Pattern Recognition

  Abstract


The AI-Based Career Guidance System is an intelligent platform designed to assist students and recent graduates in making informed career decisions by offering personalized recommendations. It addresses the common challenges faced by individuals who are uncertain about their future paths due to limited awareness, rapidly changing job markets, and a lack of proper guidance. By utilizing machine learning and natural language processing techniques, the system analyzes a wide range of user data, including academic background, personal interests, acquired skills, and long-term aspirations. This data is collected through a user-friendly web-based interface that simplifies the process of inputting relevant information. The AI models then process this data to identify patterns and correlations between the user's profile and successful career trajectories in the current job market. Based on this analysis, the system suggests tailored career options that align with both the individual's strengths and market demands. Additionally, a feedback mechanism allows users to rate and review the recommendations, enabling the system to continuously improve its predictive accuracy and relevance through iterative learning. This adaptive approach ensures that the guidance provided remains up-to-date and aligned with evolving industry requirements.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2505326

  Paper ID - 285466

  Page Number(s) - c843-c847

  Pubished in - Volume 13 | Issue 5 | May 2025

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Govind Vishnuprasad Lokam,  Mr. Parth Sachin Patil,  Mr. Aditya Sudhir Kukade,  Mr. Avinash Nagnath Dhule,  Prof. Rabiya Aman Kothiwale,   "AI-BASED CAREER GUIDANCE SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.c843-c847, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505326.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
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
ISSN
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