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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52817
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
9/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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