GRENZE International Journal of Engineering and Technology
Vol. 10
(2024), Issue 2
Edu Verse an Education based Web Application with College Prediction using Machine Learning
Authors
Medha Kulkarni, Pranav Arote, Shreya Sawant, Namrata Bhagwani, Nikhil Shriwas
Abstract
This website proposes comprehensive information about educational scope and possibilities in the Arts, Science, and Commerce streams. This platform serves as a dynamic hub where students can explore various academic options, empowering them to make well–informed decisions about their educational journey.It mainly aims toward career scope in Arts, Science, and Commerce, Entrance exams that are available for engineering degrees, and different engineering courses available in India. Prospective students can easily search for institutions based on factors such as location, field of study, admission criteria, and more. Additionally, information about scholarships, entrance exams, and application procedures streamlines the often complex and overwhelming process of applying to colleges and universities. It is an education based website with college prediction using machine learning algorithm like linear regression and random forest with Tkinter library. EduVerse main aim is to help students to get information about the courses, entrance exam, scholarships and colleges’ admission criteria and all this thing at one place is the main motive of this website. Our application “EduVerse†is aimed to help students understand and know all the career opportunities and to make confident choices about their educational pursuits.
Pages:
625 - 629