Abstract: Educational institutions play a crucial role in the growth and development of any nation. Therefore, it is imperative to find a suitable college for pursuing higher education. Our proposed system utilizes data analysis and data mining techniques, with a recommendation system being a critical part of it. The system uses data mining techniques to filter data and present relevant information. It caters to the needs of students, parents, and educationalists who seek guidance while searching for admission in engineering colleges. Many students with impressive scores miss out on their preferred colleges or courses due to lack of proper information. Therefore, we propose a recommendation system for engineering students that considers college NAAC grade and NBA grade.[2] this system will assist students and parents in selecting the desired college. The recommendation system is divided into three modules - Student, College, and Parent login modules, each with unique functions. Parents can also search for the best colleges based on different criteria.

Keywords: Educational institutions, growth and development, suitable college, higher education, proposed system, data analysis, data mining, recommendation system, students, parents, educationalists, admission, engineering colleges, college NAAC grade, NBA grade, missed opportunities, unique functions, parent login module, student module, college module.

PDF | DOI: 10.17148/IJARCCE.2023.12530

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