College Recommendation System


Authors : Lakshmaji K; Pavani Annapurna B; Lakshmi Sairam P; Prem Chaitanya P; Murali Srinivas K; Harsha Vinay G

Volume/Issue : Volume 8 - 2023, Issue 12 - December

Google Scholar : http://tinyurl.com/5n867t4h

Scribd : http://tinyurl.com/vjnetzmz

DOI : https://doi.org/10.5281/zenodo.10437439

Abstract : Selecting the appropriate institution is a crucial decision that will have a lasting impact on a student's future in the quickly evolving world of today. This complicated procedure is made simpler by the College Recommendation System, which uses conditional filtering to provide individualized recommendations. To produce customized recommendations, it considers a number of variables, including past data, preferences, and academic achievement. Parents and students may navigate the complicated world of higher education with the help of this system, which is based on a comprehensive database and an intuitive interface. Selecting the right institution is an important part of a student's academic and career path. The goal of the College Recommendation System is to make this process easier by offering tailored recommendations through conditional filtering. It generates customized recommendations based on variables such as academic achievement, preferences, and historical data, increasing the likelihood that students would make well-informed judgments. With its user-friendly design and extensive database, the College Recommendation System turns into a priceless resource for parents and students looking for advice on the challenging landscape of higher education. It makes recommendations that are closely aligned with the individual requirements and goals of every student by depending on conditional filtering. This approach streamlines the college application process and gives students the ability to make decisions that will have a big impact on their performance in the future.

Keywords : Conditional filtering, User-friendly interface, Data mining, Algorithms, Personalized suggestions, Recommendation system, and College selection.

Selecting the appropriate institution is a crucial decision that will have a lasting impact on a student's future in the quickly evolving world of today. This complicated procedure is made simpler by the College Recommendation System, which uses conditional filtering to provide individualized recommendations. To produce customized recommendations, it considers a number of variables, including past data, preferences, and academic achievement. Parents and students may navigate the complicated world of higher education with the help of this system, which is based on a comprehensive database and an intuitive interface. Selecting the right institution is an important part of a student's academic and career path. The goal of the College Recommendation System is to make this process easier by offering tailored recommendations through conditional filtering. It generates customized recommendations based on variables such as academic achievement, preferences, and historical data, increasing the likelihood that students would make well-informed judgments. With its user-friendly design and extensive database, the College Recommendation System turns into a priceless resource for parents and students looking for advice on the challenging landscape of higher education. It makes recommendations that are closely aligned with the individual requirements and goals of every student by depending on conditional filtering. This approach streamlines the college application process and gives students the ability to make decisions that will have a big impact on their performance in the future.

Keywords : Conditional filtering, User-friendly interface, Data mining, Algorithms, Personalized suggestions, Recommendation system, and College selection.

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