Machine Learning Approach for Student Career Assessment in the Modern World
V. Sai Kuswanth1, Gogineni Krishna Chaitanya2, B. Sekhar Babu3, Uppuluri Lakshmi Soundharya4

1V. Sai Kuswanth, Student, Department of Computer Science and Engineering, Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Gogineni Krishna Chaitanya, Assistant Professor, Department of Computer Science and Engineering, Lakshmaiah Education, Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3B. Sekhar Babu, Professor, Department of Computer Science and Engineering, Lakshmaiah Education, Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
4Uppuluri Lakshmi Soundharya, Department of Computer Science & Engineeringe, SRM University, Chennai (Tamil Nadu), India
Manuscript received on 25 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 18 April 2019 | PP: 699-704 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03370376S19/2019©BEIESP
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Abstract: Students coming from secondary schools do not know how to choose their academic career. Career assessment is a major problem for every student in modern world. Here in this experiment we used are widely agreeable rules which are designed to measure mathematical problems to develop a machine learning approach for assessing student’s career. For assessing career it is important to know about the student marks in mathematics and physics. For career to be assessed there is a need of counselors, who evaluate student’s performance in first year of under graduation. For a student who enters graduation there may be many activities which they deviate from studies. The concept of career assessment is to suggest a career for the student which he can settle in a job after he is graduated. If student’s deviate from their studies this may be not possible. So, for every year to assess the student’s performance and knowledge some institutions assign counselors which we call them as mentors. These mentors interact regularly with students to know about their academic complications and their knowledge. They also concentrate on student behavior, the time for which the student spends on his study. In olden days manual counseling is done for each and every student. Now in this modern world an expert system is built in which complete student assessment is done. In this expert system, some questions are given to students and answering these questions ensures the student’s capabilities.
Keywords: Career Assessment, Machine Learning, Career Management, Career Counseling, Academic Counseling, Computerized System, Data Mining.
Scope of the Article: Machine Learning