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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM6572

Online Career Guidance System for Students using Java

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM6572

Volume:

4 |

12 |

Dec 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PG

Priyanshi Gupta

SG

Sakshi Goyal

S

SiddhanshJatale

TT

Tanishka Telang

DAA

Dr. Asif Ali

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Abstract

The project aims to develop a career recommendation system for computer engineers, leveraging Python and AI/ML algorithms. It will consider students’ academic performance and personal details, culminating in personalized career suggestions and salary estimations. The system collects and preprocesses data, engineer’s relevant features, and trains machine learning models for career and salary prediction. An intuitive user interface enables students to input their information. The AI component analyzes students’ data, utilizing NLP and sentiment analysis to understand their interests. It then provides tailored career recommendations and salary insights. The system is continuously updated and maintained, and a feedback loop is integrated for user improvement suggestions. Stringent privacy and security measures are in place to protect student data, ensuring compliance with data protection regulations.

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Cite This Article

Priyanshi Gupta, Sakshi Goyal, SiddhanshJatale, Tanishka Telang, Dr. Asif Ali, "Online Career Guidance System for Students using Java," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 12, Dec 2020.

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Publication Date

1/18/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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