A counseling system to predict the study path for freshmen

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Manylion Llyfryddiaeth
Prif Awduron:	Usha, Rowshni Tasneem, Parvez, Shiny Raisa, Sejuti, Fariha Sazid, Hossain, Maisha
Awduron Eraill:	Majumdar, Mahbub
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	BRAC University 2019
Pynciau:	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP
Mynediad Ar-lein:	http://hdl.handle.net/10361/12276

id	10361-12276
record_format	dspace
spelling	10361-122762022-01-26T10:19:58Z A counseling system to predict the study path for freshmen Usha, Rowshni Tasneem Parvez, Shiny Raisa Sejuti, Fariha Sazid Hossain, Maisha Majumdar, Mahbub Department of Computer Science and Engineering, Brac University Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP Machine learning 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). 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. Rowshni Tasneem Usha Shiny Raisa Parvez Fariha Sazid Sejuti Maisha Hossain B. Computer Science and Engineering 2019-06-30T06:51:03Z 2019-06-30T06:51:03Z 2019 2019-04 Thesis ID 15301082 ID 15301047 ID 15101027 ID 15301096 http://hdl.handle.net/10361/12276 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 61 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP Machine learning
spellingShingle	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP Machine learning Usha, Rowshni Tasneem Parvez, Shiny Raisa Sejuti, Fariha Sazid Hossain, Maisha A counseling system to predict the study path for freshmen
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
author2	Majumdar, Mahbub
author_facet	Majumdar, Mahbub Usha, Rowshni Tasneem Parvez, Shiny Raisa Sejuti, Fariha Sazid Hossain, Maisha
format	Thesis
author	Usha, Rowshni Tasneem Parvez, Shiny Raisa Sejuti, Fariha Sazid Hossain, Maisha
author_sort	Usha, Rowshni Tasneem
title	A counseling system to predict the study path for freshmen
title_short	A counseling system to predict the study path for freshmen
title_full	A counseling system to predict the study path for freshmen
title_fullStr	A counseling system to predict the study path for freshmen
title_full_unstemmed	A counseling system to predict the study path for freshmen
title_sort	counseling system to predict the study path for freshmen
publisher	BRAC University
publishDate	2019
url	http://hdl.handle.net/10361/12276
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A counseling system to predict the study path for freshmen

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