Computer Science Career Recommendation System using Artificial Neural Network

© 2020 by IJCTT Journal
Volume-68 Issue-3
Year of Publication : 2020
Authors : Brijmohan Daga, Juhi Checker, Anne Rajan, Sayali Deo
DOI :  10.14445/22312803/IJCTT-V68I3P117

How to Cite?

Brijmohan Daga, Juhi Checker, Anne Rajan, Sayali Deo, "Computer Science Career Recommendation System using Artificial Neural Network," International Journal of Computer Trends and Technology, vol. 68, no. 3, pp. 84-88, 2020. Crossref, 10.14445/22312803/IJCTT-V68I3P117

There is a trend amongst students to generally opt for career paths based on either the choices of their colleagues or the highest salary paying roles. They fail to know their strengths and choose their career randomly which leads to frustration and demoralization. Moreover, while recruiting the candidates, recruiters need to assess them in all different aspects. Thus, there is a need for a system that helps students decide a job role that is best suited for him/her which is based on his/her skill-set and other evaluation metrics which is now possible due to advancements in the field of deep learning. This paper proposes an automated system using Artificial Neural Network which considers personality traits of the individual along with personal interests and academics to predict which computer science job role would be best suited for them.

Deep learning, artificial neural networks, multiclass classification, backpropagation algorithm, career recommendation, computer science.

[1] R. E. Uhrig, "Introduction to artificial neural networks," Proceedings of IECON `95 - 21st Annual Conference on IEEE Industrial Electronics, Orlando, FL, USA, 1995, pp. 33-37 vol.1.
[2] S. Elayidom, S. M. Idikkula, J. Alexander and A. Ojha, "Applying Data Mining Techniques for Placement Chance Prediction," 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, Trivandrum, Kerala, 2009, pp. 669-671.
[3] Bao, Xuecai & Wang, Tangsheng & Hu, Jianfeng. (2009). “Analysis of Individual Career Decision-Making Based on Partial Least-Squares Regression Model”. 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009. 2. 522-526. 10.1109/FSKD.2009.192.
[4] X. Bao, T. Wang and J. Hu, "Analysis of Individual Career Decision-Making Based on Partial Least-Squares Regression Model," 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Tianjin, 2009, pp. 522-526.
[5] Guo, Bo & Zhang, Rui & Xu, Guang & Shi, Chuangming & Yang, Li. (2015). “Predicting Students Performance in Educational Data Mining”. 125-128. 10.1109/ISET.2015.33.
[6] A. Slim, G. L. Heileman, J. Kozlick and C. T. Abdallah, "Employing Markov Networks on Curriculum Graphs to Predict Student Performance," 2014 13th International Conference on Machine Learning and Applications, Detroit, MI, 2014, pp. 415-41
[7] Ade, Roshani & Deshmukh, P.R. (2014). “An incremental ensemble of classifiers as a technique for prediction of student`s career choice. 1st International Conference on Networks and Soft Computing”, ICNSC 2014 - Proceedings. 2014. 384-387. 10.1109/CNSC.2014.6906655.
[8] L. S. Katore, B. S. Ratnaparkhi and J. S. Umale, "Novel professional career prediction and recommendation method for individuals through analytics on personal traits using C4.5 algorithm," 2015 Global Conference on Communication Technologies (GCCT), Thuckalay, 2015, pp. 503-506
[9] Naim, M. I. Tanveer, D. Gildea and M. E. Hoque, "Automated prediction and analysis of job interview performance: The role of what you say and how you say it," 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), Ljubljana, 2015, pp. 1-6.
[10] Uddin, Muhammad & Lee, Jeongkyu. (2016). “Predicting good fit students by correlating relevant personality traits with academic/career data”. 968-975. 10.1109/ASONAM.2016.7752357
[11] H. Mallafi and D. H. Widyantoro, "Prediction modelling in career management," 2016 International Conference on Computational Intelligence and Cybernetics, Makassar, 2016, pp. 17-21.
[12] R. H. Rangnekar, K. P. Suratwala, S. Krishna and S. Dhage, "Career Prediction Model Using Data Mining and Linear Classification," 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, 2018, pp. 1-6.
[13] Roy, K. & Roopkanth, K. & Teja, V. & Bhavana, V. & Priyanka, J. (2018). “Student Career Prediction Using Advanced Machine Learning Techniques”. International Journal of Engineering and Technology (UAE). 7. 26-29. 10.14419/ijet. v7i2.20.11738.
[14] Arafath, Yeasin & Saifuzzaman, Mohd & Ahmed, Sumaiya & Hossain, Syed. (2018). “Predicting Career Using Data Mining. 10.1109/GUCON.2018.8674995”.
[15] L. Zhang, T. Luo, F. Zhang and Y. Wu, "A Recommendation Model Based on Deep Neural Network," in IEEE Access, vol. 6, pp. 9454-9463, 2018.