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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52817

AI-Enabled Academic and Career Planning System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52817

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52817

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

MPR

Mrs.E.Aksha Pricilda Reena1

MP

Mr.J.A.Surya Prasath2

M

Mr.S.Sham3

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Full Articles

Abstract

The rapid growth of higher education institutions and diverse career options has made academic and career planning increasingly challenging for students. This project, titled AI-Enabled Academic and Career Planning System , aims to provide an intelligent platform that simplifies the process of college selection and career guidance. The system integrates comprehensive information about colleges to enable students to make well-informed choices. A core feature is the AI-driven quiz and recommendation module that analyzes students’ interests, strengths, and skills to suggest suitable courses and potential career paths. The platform is built using a modern and scalable technology stack: the frontend utilizes HTML, CSS, and JavaScript, specifically leveraging React.js for a dynamic and responsive UI ; the backend is powered by Node.js ; data storage is managed by MongoDB ; and the AI recommendation engine is implemented in Python, leveraging libraries such as scikit-learn and TensorFlow for machine learning functionalities. Hosting and deployment are managed via Firebase, ensuring robust performance and broad accessibility. By combining detailed institutional data with personalized AI-driven guidance, this system effectively bridges the gap between students’ aspirations and academic opportunities, empowering them to take confident steps toward their future.

KEYWORDS

AI-Enabled Career Planning Academic Guidance Recommendation System Machine Learning Web Platform College Selection Node

Cite This Article

Mrs.E.Aksha Pricilda Reena1, Mr.J.A.Surya Prasath2, Mr.S.Sham3, "AI-Enabled Academic and Career Planning System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025. https://doi.org/10.55041/IJSREM52817

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Publication Date

9/30/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

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

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No funding information available for this research.

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