Intelligent Career Guidance System using Machine Learning

November 2022
Vol-8, Issue-6
Paper ID: 18667
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Chatbots Web predicted career path Skills.
Abstract
Most students across the world are always in confusion after they complete higher secondary and the stage where they must choose an appropriate career path. At 18, the students don't have adequate maturity to accurately know what an individual must follow to choose a congenial career path. As we pass through the stages, we realize that every student undergoes a series of doubts or thought processes on what to pursue after 12th which is the single tallest question. Then comes the next agony of whether they have the essential skills for their chosen stream. Our computerized career counseling system is used to predict the suitable department for an individual based on their skills assessed by an objective test. If one completes the online assessment w we have created in our system, they will automatically choose an appropriate course, which will also reduce the failure rates of choosing a wrong career path. Chatbots also referred to as chat agents, have drawn a lot of interest from a variety of fields. It consists of the participants’ inquiries and the answers given. In this essay, we’ve spoken about using chatbots in educational settings. Kids must be educated in a supportive environment while contemplating any type of institution, including schools and universities. This implies that the infrastructure should captivate each requirement that the instructors or students in that environment deem essential. The current approach suggests that all the work is done manually and is therefore prone to error. It is foreseeable to have a computer-available, web-predicted system that will monitor the infrastructure allocation taking these aspects into account to reduce errors.

Author Information

# Name Institute / Affiliation
1 Tanmay Mathur Dhole Patil College Of Engineering pune
2 Mansi Singh Dhole Patil College Of Engineering pune
3 Pawar Soniya Dattatray Dhole Patil College Of Engineering pune
4 Pawan Kumar Dhole Patil College Of Engineering pune

How to Cite

Use the following formats to cite this article in your research.

APA Style
Mathur, Tanmay, Singh, Mansi, Dattatray, Pawar Soniya, & Kumar, Pawan (2022). Intelligent Career Guidance System using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(6), 647-650.
MLA Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 6, 2022, pp. 647-650.
IEEE Style
Tanmay Mathur, Mansi Singh, Pawar Soniya Dattatray, and Pawan Kumar, "Intelligent Career Guidance System using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 6, pp. 647-650, 2022.
Vancouver Style
Mathur Tanmay, Singh Mansi, Dattatray Pawar Soniya, Kumar Pawan. Intelligent Career Guidance System using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(6):647-650.
Harvard Style
Mathur, Tanmay, Singh, Mansi, Dattatray, Pawar Soniya, & Kumar, Pawan (2022) 'Intelligent Career Guidance System using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(6), pp. 647-650.
Chicago Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 6 (2022): 647-650.
Turabian Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 6 (2022): 647-650.

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