Intelligent Career Guidance System using Machine Learning.
Abstract & Details
Research Area
Computer Engineering
Keywords
Chatbots
Web predicted
career path
Skills
Abstract
After completing higher secondary education, many students worldwide face confusion when it comes to choosing an appropriate career path. At the age of 18, students may not possess the necessary maturity to determine the steps required to select a career path that is suitable for them. As students move through this process, they often experience doubts and uncertainty about what to pursue after completing 12th grade. Moreover, they may question their abilities to excel in their chosen field. To address this issue, we developed a computerized career counseling system that uses an objective test to assess an individual's skills. By completing this online assessment, individuals can find suitable career paths that align with their strengths and interests, thereby reducing the chances of selecting the wrong course and failing. In addition to our career counseling system, chatbots or chat agents have gained interest in various fields. Particularly in educational settings, it is essential to provide a supportive environment for students when considering various institutions like schools and universities. The infrastructure of these institutions must cater to the needs of both instructors and students. Currently, this work is done manually, making it prone to errors. To mitigate these errors, a computerized system that is available online and can monitor infrastructure allocation is necessary. In conclusion, our company's career counseling system is an effective tool for guiding individuals towards suitable career paths based on their skills and interests. Moreover, chatbots can improve the efficiency and accuracy of infrastructure allocation in educational settings, thereby providing a supportive environment for students and instructors
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Tanmay Mathur | Dhole Patil College Of Engineering pune |
| 2 | Mansi Singh | Dhole Patil College Of Engineering pune |
| 3 | Soniya Pawar | Dhole Patil College Of Engineering pune |
| 4 | Pawan Kumar | Dhole Patil College Of Engineering pune |
| 5 | Priyanka Praful Yeotikar | 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, Pawar, Soniya, Kumar, Pawan, & Yeotikar, Priyanka Praful (2023). Intelligent Career Guidance System using Machine Learning.. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2906-2911.
MLA Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning.." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2906-2911.
IEEE Style
Tanmay Mathur, Mansi Singh, Soniya Pawar, Pawan Kumar, and Priyanka Praful Yeotikar, "Intelligent Career Guidance System using Machine Learning.," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2906-2911, 2023.
Vancouver Style
Mathur Tanmay, Singh Mansi, Pawar Soniya, Kumar Pawan, Yeotikar Priyanka Praful. Intelligent Career Guidance System using Machine Learning.. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2906-2911.
Harvard Style
Mathur, Tanmay, Singh, Mansi, Pawar, Soniya, Kumar, Pawan, & Yeotikar, Priyanka Praful (2023) 'Intelligent Career Guidance System using Machine Learning.', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2906-2911.
Chicago Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning.." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2906-2911.
Turabian Style
Mathur, Tanmay, et al. "Intelligent Career Guidance System using Machine Learning.." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2906-2911.
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