• Login
    • Library Home
    View Item 
    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A counseling system to predict the study path for freshmen

    Thumbnail
    View/Open
    15301082,15301047,10301027,15301096_CSE.pdf (1.559Mb)
    Date
    2019-04
    Publisher
    BRAC University
    Author
    Usha, Rowshni Tasneem
    Parvez, Shiny Raisa
    Sejuti, Fariha Sazid
    Hossain, Maisha
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/12276
    Abstract
    Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue as they lack maturity and experience on the matter. Moreover, students su er greatly in deciding which faculty would result the highest bene t for them due to the insu ciency of counselors in the pre-university education. The students do not have the su cient knowledge to make themselves aware of the real life career related challenges, which is supported by academic majors. It is crucial for a student to make the proper decision on the matter of their career in order to avoid consequences that may be the result of wrong career selection. As a result, selecting an proper career with highest bene t has become one of the most di cult as well as challenging task for the students because wrong career selection may lead to a work eld which was not meant for them. This paper presents a counselling system to predict study path for the freshmen by analyzing necessary attributes such as skills, interests, values and motivation, academic background. Moreover, the proposed freshmen counseling system helps the freshmen in their career choice as well as guides toward their respective appropriate career for future. We have used several di erent approaches for modeling and prediction such as Decision tree classi er, Random Forest, SVM, K-Nearest-Neighbors Classi ers etc. and di erentiated between the resulting precision scores. The results were also cross-checked which determined the best parameters that is responsible for providing highest accuracy scores. Furthermore, some ranking algorithms were used to generate a ranked output for the student counseling system. In this paper, we have separated our work into di erent parts. Chapter 1 contains the overall idea about our work. Chapter 2 contains Related Works, followed by Chapter 3, where we have mentioned about the methodologies which we have used for the system. After that Chapter 4 contains the implementation of the system. Next in Chapter 5 result analysis has been mentioned. Lastly, Chapter 6 ended with conclusion, our limitations and future scopes of improvements related to our work.
    Keywords
    Machine learning; Prediction; Decision tree; Random forest; Ranking algorithm; Major selection; AHP
     
    LC Subject Headings
    Machine learning
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 60-61).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback
     

     

    Policy Guidelines

    • BracU Policy
    • Publisher Policy

    Browse

    All of BracU Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback