SCCAI- A Student Career Counselling Artificial Intelligence


EOI: 10.11242/viva-tech.01.02.01

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Citation

Aditya M. Pujari, Rahul M. Dalvi, Kaustubh S. Gawde, Tatwadarshi P. N., "SCCAI- A Student Career Counselling Artificial Intelligence", VIVA-IJRI Volume 1, Issue 2, Article 1, pp. 1-6, 2019. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

As education is growing day by day, the competition has prompted a need for the student to understand more about the educational field. Many times the counselor isn’t available all the time and sometimes due to the lack of proper knowledge about some educational field. Due to this, it creates an issue of misconception of that field. This creates a problem for the student to decide a proper educational trajectory and guidance is not always useful. The proposed paper will overcome all these problem using machine learning algorithm. Various algorithms are being considered and amongst them the best suitable for our project are used here. There are 3 major problems that come across our path and they are solved using Random forest, Linear regression and Searching algorithm using Google API. At first Searching algorithm solves the problem of location by segregating the college’s location vice, then Random Forest provides the list of colleges by using stream and range of percentage and finally Linear Regression predicts the current cutoff using previous years’ data. Rather than this, the proposed system also provides information regarding all fields of education helping students to understand and know about their field of interest better. The following idea is a total fresh idea with no existing projects of similar kind. This project will help students guide them throughout.

Keywords

Machine learning, Random Forest, Linear Regression, K-means, Chatbot.

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