AI-Based Career Counselling
Keywords:
Career Counselling, Automated Counselling, Machine LearningAbstract
Today, a wide variety of counsellors are accessible who provide individualized counselling to each student to assist them in making a well-organized career choice. Numerous websites offer online domain, personality, aptitude, and interest tests to determine which professional sector a particular student should select. A very challenging step in the career advising process is precisely identifying the most suited field and comprehending the current educational trends. Students do not seem to be content with the current method due to inconsistent results; so, a programme that might produce much more accurate results is needed. Therefore, a survey was conducted to learn about their issues so that we could try to find solutions for the next generation. We tested several machine learning algorithms after implementing them, and the one that produced the most accurate results was chosen.
References
Too F. A Career guidance mobile application based on personality. Doctoral dissertation. Nairobi: Strathmore University; 2017. 2. Abisoye OA, Alabi IO, Ganiyu SO, Abisoye BO, Josiah O. A web based career guidance information system for pre-tertiary institution students in Nigeria. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET). 2015; 1(3): 229–240. 3. Mohammed KF, Gawade S, Nimkar V. Online career counseling system using adaptive e-learning. In 2017 IEEE International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE). 2017 Oct 27; 583–592. 4. D’Mello C, Aranha R, Gregory B, Shrivastava V. Online Career Guidance System. 2016 International Journal of Advanced Research in Computer Science and Software Engineering. 2016 Apr;6(4). 5. Ahmed S, Maurya SP, Khalane V. Online career guidance system. International Journal of Trend in Scientific Research and Development (IJTSRD). 2018; 3(1): 1078–1081.
Yadav Seema K, Singh Sujit J, Bora Akshay M, Thakur Shashankit N. Educational Recommendation and Tracking System. Int J Sci Eng Res. 2016; 7(11): 1443–1447. 7. Bende V, Erande P, Jore P, Bhor A, Dumbre M. Online career guidance system. International Journal of Engineering Sciences & Research Technology (IJESRT). 2016 Feb; 104–107. 8. Supriyanto G, Widiaty I, Abdullah AG, Yustiana YR. Application expert system career guidance for students. In J Phys: Conf Ser. 2019 Dec 1; 1402(6): 066031. IOP Publishing.
Dawood M, Arshad A. Career Counselling for Better Future Studies using Machine Learning techniques. International Research Journal of Engineering and Technology (IRJET). 2020 Jun;7(06). 10. Daharwal A, Gore S, Bhagwat A, Dethe S, Chavan S. Career Guidance System using Machine Learning for Engineering Students (CS/IT). Int Res J Eng Technol (IRJET). 2020 Jun; 7(6): 3417–3420.
Maha Nawaz, Anum Adnan, Unsa Tariq, Jannat Fatima Salman, Rabia Asjad, Maria Tamoor. Automated Career Counseling System for Students using CBR and J48. J Appl Environ Biol Sci. 2020; 4(7S): 113–120.
Pavel Kiseleva, Boris Kiselev, Valeriya Matsuta, Artem Feshchenko, Irina Bogdanovskaya, Alexandra Kosheleva. Career guidance based on machine learning: social networks in professional identity construction. Procedia Comput Sci. 2020; 169: 158–163.
Sripath Roy K, Roopkanth K, Uday Teja V, Bhavana V, Priyanka J. Student Career Prediction Using Advanced Machine Learning Techniques. Int J Eng Technol. 2018; 7(2): 26–29.
Waghmode ML, Jamsandekar PP. Expert system for Career Selection: A Classifier Model. International journal of advance research in computer science and management studies (IJARCSMS). 2016; 4(1): 174–179.
Lakshmi Prasanna, Haritha D. Smart Career Guidance and Recommendation System. Int J Eng Dev Res. 2019; 7(3): 633–638.
