CAREER GUIDANCE SYSTEM BY USING KNN ALGORITHM
S. H. Rajput1, Sudeshana P. Torawane 2, Namrata J. Deore 3, Mayuri N. Patil4, Vishal B. Javare5
Department Of Computer Engineering, Shrama sadhana Bombay Trust, College of Engineering & Technology, Jalgaon.
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Abstract - Career choice plays an important role in college student’s life planning. In today’s world choosing the right career is the toughest decision. Today many students are confused about their future. They do possess some skills but they are not able to identify their abilities and a proper domain. Different people suggest different career options but at last, the student has to select their career. In this project, basically we have focused on this problem of the engineering student using machine learning. With the help of machine learning, we are helping the student to decide which is the best career option and domain for them using different machine learning techniques. The career is decided based on academic information filled by the student. This project helps the student to get directed towards a specific domain as per their skills. Over the past few years several systems have been built to help engineering students select the right career path by predicting the best career option based on their academic factors. However, academic factors are not the only relevant factor, we do need to consider one’s cognitive abilities and psychometric factors too; such as, speed, learning capacity, endurance and memory to achieve the best career outcomes. However, in order to develop a system that will predict one’s career based on both academic and psychometric factors we need to select a classification algorithm like K-nearest neighbors (KNN) that will provide the best accuracy rate.
Key words: Career Guidance, Machine Learning Algorithms, K-Nearest Neighbor, Web Development.
