Student Future Prediction Using Machine Learning

Autor: Parth Patel, Harsh Prajapati, Rajan Rathod, Rajiv Kumar Gurjwar, Dileep Chaudhary
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :1104-1108
ISSN: 2456-3307
DOI: 10.32628/cseit1952300
Popis: Selecting an appropriate career is one of the most important decisions and with the increase in the number of career paths and opportunities, making this decision have become quite difficult for the students. According to the survey conducted by the Council of Scientific and Industrial Research's (CSIR), about 40% of students are confused about their career options. This may lead to wrong career selection and then working in a field which was not meant for them, thus reducing the productivity of human resource. Therefore, it is quite important to take a right decision regarding the career at an appropriate age to prevent the consequences that results due to wrong career selection. This system is a web application that would help students studying in high schools to select a course for their career. The system would recommend the student, a career option based on their personality trait, interest and their capacity to take up the course.
Databáze: OpenAIRE