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Title: :  Events Recommendation System
PaperId: :  26413
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26413
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dharsana SSri Ramakrishna Engineering College
Misha Fathima JSri Ramakrishna Engineering College
Naveena BSri Ramakrishna Engineering College
Dr. A. Grace SelvaraniSri Ramakrishna Engineering College

Abstract

Computer Science and Engineering
Event Recommendation, Educational Institutions, Website Development, XAMPP Server, User Interaction, K-Nearest Neighbors (KNN), Machine Learning, Personalized Recommendations, Admin Panel, Student Engagement.
The Event Recommendation System is a dynamic web-based platform developed to simplify the way students and institutions engage with events. Designed primarily for educational institutions, the system allows administrators to post and manage event details, while users (students) can browse, rate, and participate in events related to their own institutions. The platform provides a dedicated login for administrators, ensuring that only authorized personnel can create and modify events, while users access the content through a separate, secure user login. The website backend is developed using XAMPP, an open-source server solution that includes Apache, MySQL, PHP, and Perl. The backend handles the core functionalities like user authentication, event management, and secure data storage. Each institution is individually listed on the platform, enabling users to view events specific to their college or university, enhancing the relevance and user experience. A key feature of the system is its personalized event recommendation functionality, powered by a simple yet effective Machine Learning (ML) model. We have implemented the K-Nearest Neighbors (KNN) algorithm to analyze user activities — such as event clicks, ratings, and recent interactions — to understand their preferences and suggest events accordingly. This helps in providing a tailored experience for users, allowing them to discover events that match their interests without manually searching through all listings. The combination of a user-friendly website interface, efficient backend operations, and intelligent recommendation systems ensures a seamless interaction for both administrators and users. Overall, the project successfully demonstrates the integration of modern web development with machine learning techniques to build a useful, real-world application that could be scaled across various institutions.

Citations

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IJARIIE Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. "Events Recommendation System" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 1-7
MLA Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. "Events Recommendation System." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 1-7.
APA Dharsana S, Misha Fathima J, Naveena B, & Dr. A. Grace Selvarani. (2025). Events Recommendation System. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 1-7.
Chicago Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. "Events Recommendation System." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 1-7.
Oxford Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. 'Events Recommendation System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 1-7. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Events_Recommendation_System_ijariie26413.pdf (Accessed : 14 May 2025).
Harvard Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. (2025) 'Events Recommendation System', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 1-7IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Events_Recommendation_System_ijariie26413.pdf (Accessed : 14 May 2025)
IEEE Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani, "Events Recommendation System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 1-7, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Events_Recommendation_System_ijariie26413.pdf [Accessed : 14 May 2025].
Turabian Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. "Events Recommendation System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 (14 May 2025).
Vancouver Dharsana S, Misha Fathima J, Naveena B, and Dr. A. Grace Selvarani. Events Recommendation System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : 14 May 2025]; 11(3) : 1-7. Available from: https://ijariie.com/AdminUploadPdf/Events_Recommendation_System_ijariie26413.pdf
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