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  Published Paper Details:

  Paper Title

Career-Disha AI Based Career Counseling

  Authors

  Roshani Bhaskarwar,  Yash Rawat,  Durgesh Thorat,  Ritumbhara Sapkale,  Neeraj Bhoir

  Keywords

Career Counseling, Web Application, Career Guidance, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP).

  Abstract


In today's competitive and rapidly evolving world, choosing the right career path is a frustrating task for many students, often leading to confusion and regret. As the students are going through their academics, they need to realize their capabilities and check their areas of interest so that they will decide which career is best suited for them. Many students choose their careers simply because their friends are choosing the same path or under their family pressure. The system is an innovative platform aimed to guiding secondary-level students in making well-informed career decisions. The system will help students by providing them right career recommendations based on students' interests, skills, and aptitude test outcomes. The platform not only offers career suggestions but also provides detailed insights into various educational pathways, helping students understand the steps needed to achieve their career goals. Additionally, it features a user friendly interface that allows students to explore suitable college options based on their field of interest and location. This system will also be focusing on the way we are using prediction algorithms to recommend career to students by identifying the attributes. The proposed system serves as a one-stop career counseling platform, equipping students with the necessary tools to explore their career opportunities and make informed decisions about their future.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504481

  Paper ID - 282071

  Page Number(s) - e136-e146

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.44756

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

  E-ISSN Number - 2320-2882

  Cite this article

  Roshani Bhaskarwar,  Yash Rawat,  Durgesh Thorat,  Ritumbhara Sapkale,  Neeraj Bhoir,   "Career-Disha AI Based Career Counseling", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.e136-e146, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504481.pdf

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Call For Paper November 2025
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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
ISSN
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