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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM19518

CareerAdvisor- A Web-based application for career guidance

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM19518

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

AK

Ashwin Kumar

CM

ChetanKumar Mistry

AS

Adel Sheikh

BA

Bhavna Arora

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Abstract

Career guidance is crucial for any aspiring individual in the modern world. It is essential to know what path in life will be best suited for each person as per their interests and skills. Lack of knowledge of the same could lead to failure, dropout, integration difficulties, unemployment, etc. Though the existing system seems to be more than satisfactory, our project will add new dimensions to this idea to make it more appealing to the general populace. In this project we will by applying Artificial Intelligence to solve this problem. A lot of what humans do to guide students to find and get to their preferential career goal can be automated. This can be done if a suitable amount of data from the appropriate sources was fed to the AI algorithm, which will act as knowledge base in order to make realistic inferences about a person’s career. Simply put, we will be providing automation for three key aspects of career guidance, i.e. Finding a suitable career, Displaying several career paths to reach the same, Providing self-improvement resources to help the students reach their respective goals in a specified amount of time.

KEYWORDS

career counselling guidance

Cite This Article

Ashwin Kumar, ChetanKumar Mistry, Adel Sheikh, Bhavna Arora, "CareerAdvisor- A Web-based application for career guidance," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023.

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Publication Date

4/28/2023

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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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