IJCOPE Journal

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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AI-BASED CAREER GUIDANCE SYSTEM FOR ENGINEERING STUDENTS

THILAKAVATHI P VARSHANA G NISHANTHINI R

KANAGADURGA N

Department of Computer Science and Engineering, E.G.S.Pillay  Engineering College, Nagapattinam, Tamilnadu, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Technological advancement has resulted in numerous opportunities for engineers in terms of careers. However, choosing among available career choices is a difficult task for engineering students since they lack guidance, information, and advice from other stakeholders. To solve the problem, this paper introduces an innovative solution called the AI-Based Career Guidance System for Engineering Students. The system uses intelligent algorithms based on machine learning to analyze student input data and generate career recommendations.

Student input is captured through an assessment tool that includes questions regarding skills, knowledge, personal preferences, behaviors, and many more. Collected student data is analyzed using decision tree, random forest, and support vector machine algorithms to predict suitable career areas. After prediction, the system generates recommendations such as software development, data science, cloud computing, and cybersecurity, among others.

The system is designed using Python programming language and machine learning tools. Furthermore, it employs web technologies such as HTML and CSS to build its user interface. Experimental results show that the proposed AI system can help students make decisions in choosing appropriate career areas based on their strengths and preferences.

Keywords:

Artificial Intelligence; Career Guidance; Machine Learning; Recommendation System; Student Analysis

How to Cite this Paper

P, T., G, V. & R, N. (2026). AI-Based Career Guidance System for Engineering Students. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.644

P, THILAKAVATHI, et al.. "AI-Based Career Guidance System for Engineering Students." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.644.

P, THILAKAVATHI,VARSHANA G, and NISHANTHINI R. "AI-Based Career Guidance System for Engineering Students." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.644.

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References

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  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 21 2026
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