Student Career Prediction Using Advanced Machine Learning Techniques

A more advanced web application can be developed where inputs are not provided directly by students. Instead, student parameters are gathered through comprehensive evaluations and assessments. These assessments can include technical, analytical, logical, memory-based, psychometric, general awareness, interest-based, and skill-based tests. By collecting parameters through these structured evaluations, the system can generate more accurate results, making it more reliable and effective for career predictions.

1. R. K. Sharma, P. Jain, “AI-Based Career Prediction Models Using Deep Learning,” Proceedings of the IEEE International Conference on Artificial Intelligence and Machine Learning, 2020. 2. S. K. Singh, “A Study on Predictive Modeling for Career Guidance Using Machine Learning,” International Journal of Computer Science and Artificial Intelligence, 2021. 3. Sudheep Elayidom, Dr. Sumam Mary Idikkula, “Applying Data Mining using Statistical Techniques for Career Selection,” International Journal of Recent Trends in Engineering, Vol. 1, No. 1, May 2009. 4. Ms. Roshani Ade, Dr. P. R. Deshmukh, “An Incremental Ensemble of Classifiers as a Technique for Prediction of Student’s Career Choice,” 2014 First International Conference on Networks & Soft Computing. 5. Nikita Gorad, Ishani Zalte, “Career Counselling Using Data Mining,” International Journal of Innovative Research in Computer and Communication Engineering. 6. Marium-E-Jannat, Sayma Sultana, Munira Akther, “A Probabilistic Machine Learning Approach for Eligible Candidate Selection,” International Journal of Computer Applications (0975 – 8887) Volume 144 – No.10, June 2016. 7. Ali Daud, Naif Radi Aljohani, “Predicting Student Performance using Advanced Learning Analytics,” 2017 International World Wide Web Conference Committee (IW3C2). 8. Bo Guo, Rui Zhang, “Predicting Students' Performance in Educational Data Mining,” 2015 International Symposium on Educational Technology. 9. P. KaviPriya, “A Review on Predicting Students’ Academic Performance Earlier, Using Data Mining Techniques,” International Journal of Advanced Research in Computer Science and Software Engineering. 10. Dr. Mahendra Tiwari, Manmohan Mishra, “Accuracy Estimation of Classification Algorithms with DEMP Model,” International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 11, November 2013.