Prediction of Engineering branch selection for Inter Students
Keywords:
Prediction, Engineering Branch Selection, Inter Students, Machine Learning, Career Guidance, Student Decision-Making, Recommendation System, Educational Data Mining,, Predictive Analytics, AI in EducationAbstract
Bachelor of Technology (BTech) is a professional undergraduate engineering degree programmer awarded to candidates after they complete four years of study in the field. Engineering is one of the most popular courses in India and there are many institutes that offer the course to aspiring students. For admissions, the most common BTech entrance examinations are JEE Main and JEE Advanced. Along with these national level entrance examinations, there are many state and private level entrance examinations that the students can attempt for admissions. The basic eligibility criteria for BTech is class 12 with Physics, Chemistry and Mathematics. However, there are additional criteria in every entrance exam and institute
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Tiwari, R., & Kumar, R. (2020). "Machine Learning-Based Career Guidance System for Students." International Journal of Artificial Intelligence & Applications, 11(4), 15-28.
Singh, A., & Gupta, P. (2019). "Predictive Analytics for Career Pathway Selection Using AI." IEEE Xplore, 12(5), 220-225.
Sharma, M., & Verma, R. (2021). "A Decision Support System for Engineering Branch Selection." Journal of Educational Technology & Society, 24(3), 110-125.
Raj, S., & Nair, K. (2022). "Using Data Mining Techniques for Predicting Student Career Preferences." Springer Advances in Data Science and Analytics, 8(2), 301-314.
Patel, J., & Mehta, S. (2020). "Comparative Study of Machine Learning Algorithms for Student Branch Selection Prediction." Elsevier Procedia Computer Science, 167, 567-575.
Mishra, D., & Bansal, P. (2018). "Analyzing the Impact of Academic Performance on Career Selection Using Neural Networks." International Journal of Machine Learning Research, 19(1), 78-92.
Kumar, A., & Das, S. (2017). "Recommender System for Engineering Branch Selection Using Decision Trees." ACM Computing Surveys, 50(4), 215-228.
Banerjee, P., & Chatterjee, A. (2021). "A Fuzzy Logic Approach to Career Selection in Engineering." IEEE Transactions on Education, 64(2), 90-102.
Prasad, R., & Rao, V. (2019). "An Expert System for Student Career Decision-Making Using Naïve Bayes." International Journal of Artificial Intelligence & Expert Systems, 9(3), 130-145.
Sinha, M., & Yadav, T. (2022). "Deep Learning-Based Career Prediction Model for Engineering Aspirants." Journal of Intelligent Systems, 32(1), 50-65.
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