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  Published Paper Details:

  Paper Title

Student Career Prediction Using Machine Learning

  Authors

  Mayuri Shrikant Revale,  Sanskruti Yuvraj Khot,  Vaishnavi Pravin Gurav,  Ritika Umakant Salvi,  Rashmi More

  Keywords

Student Career Prediction, Machine Learning, Random Forest.

  Abstract


Every Student goes through multiple phases like peer pressure, parents pressure, etc. However, many students are dropping out of their next level of education due to various reasons. A proposed method utilizes machine learning concepts such as Decision Tree, Random Forest, Support Vector Machine, and AdaBoost. to predict students future career paths. The system, implemented using Python, assists students in choosing a course based on their personality traits, interests, and capacity to take the course. The study found that students are confused about their career options, potentially leading to wrong career selections and reduced human resource productivity. The system aims to help students make informed decisions about their future career paths.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403954

  Paper ID - 253783

  Page Number(s) - i39-i44

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mayuri Shrikant Revale,  Sanskruti Yuvraj Khot,  Vaishnavi Pravin Gurav,  Ritika Umakant Salvi,  Rashmi More,   "Student Career Prediction Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.i39-i44, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403954.pdf

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Call For Paper July 2024
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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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