I-Guide - A novel machine learning approach for career consultancy

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Date

2022

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Library Information Services, CUI Lahore

Abstract

The project aims to provide career counselling to the intermediate students or the ones who just completed their intermediate studies. Career consultancy is usually considered a simple process where as the reality contradicts with it. To enter the world of work and selecting the professional career degrees requires a lot of effort. In this modern era, machines are replacing human work force, thereby enhancing the need for an automatic career consultancy guide. The old client-counselor relationship is getting outdated as this requires a lot of time, costing a lot of money and difficulty in finding the right an appropriate person. This project will help the ones who are struggling with the career choice in terms of their professional degree problem selection by considering their true potential, interests, financial status and a right match for their abilities. This will enable the students in particular the intermediate students to free themselves from the pressure their family put on them to select a career. This will be a guide for parents too as each and every possible attribute regarding the selection of degree program of their offspring and jobs based on their career. It will resolve the confusion of students who are stuck with multiple disciplines or subjects in their mind and cannot reach for proper counselling. This will be done by training a machine learning model on the real data of the students currently pursuing their career in hot domains at different institute. It will enable the students to check success estimates in a degree they will select based on the historic data of students of that particular field. After the successful training of machine learning model by applying algorithms, a website will be made. This website will allow the students to enter their interest, hobbies, current marks, current subject and all the similar attributes.

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I-Guide - A novel machine learning approach for career consultancy

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