Career Recommendation System (2026)

Authors

  • Ms. M. Samyuktha Author
  • Dr. B. Madhava Rao Author
  • Garisa Yashitha Reddy Author
  • Golla Sresta Sri Author

DOI:

https://doi.org/10.64751/ijdim.2026.v5.n2(3).1071

Abstract

The rapid expansion of educational opportunities and the continuous emergence of diverse career options have made it increasingly difficult for students to make informed and confident career decisions. Many students lack proper guidance, structured information, and awareness about suitable career paths that align with their academic performance, skills, and personal interests. This often results in confusion, indecision, and in some cases, dissatisfaction in their professional journey. To address this issue, a Java-based Career Guidance System is proposed, which aims to provide appropriate career recommendations based on user inputs such as CGPA and area of interest. The system is developed using Java Swing to create an interactive and user-friendly graphical interface, while a text file is utilized as a lightweight and efficient database for storing career-related information. The application is packaged as an executable JAR file, allowing users to run it without requiring additional installations or dependencies. The system processes user inputs, applies logical conditions, and retrieves relevant career options, presenting them in a structured and understandable format. The proposed solution is simple, accessible, and efficient, and it eliminates the need for continuous internet connectivity, making it highly practical for a wide range of users. Overall, the system provides a reliable and convenient method for assisting students in career decision-making. In other words, the system simplifies career selection by providing relevant suggestions in an easy and efficient manner, thereby helping students make better and more informed choices. Index Terms—Career guidance system , CGPA analysis, decision support system, Java Swing, recommendation system, student career planning .

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Published

2026-06-23

How to Cite

Ms. M. Samyuktha, Dr. B. Madhava Rao, Garisa Yashitha Reddy, & Golla Sresta Sri. (2026). Career Recommendation System (2026). International Journal of Data Science and IoT Management System, 5(2(3), 400-405. https://doi.org/10.64751/ijdim.2026.v5.n2(3).1071