Design and Development of a Gift Recommendation System Using Rule-Based Approach

Authors: Rashika.R. K, William Hamilton.D, Siddhartha.J. R, Arun.H, Mrs.B. Subhalakshmi

Abstract: In today’s fast-paced lifestyle, choosing a suitable gift for different occasions has become a challenging task due to the wide variety of options available. People often find it difficult to select meaningful gifts that match the preferences and interests of the recipient. Traditional methods such as manual selection or browsing through online platforms are time-consuming and may not always provide satisfactory results. To address this problem, this project proposes a Gift Recommendation System that provides personalized gift suggestions based on user inputs such as age, gender, occasion, and interests. The system uses a rule-based approach to analyze user preferences and generate relevant recommendations. The application is developed using web technologies including HTML, CSS, and JavaScript, ensuring a simple, user-friendly, and efficient interface. The system processes user input dynamically and displays appropriate gift suggestions instantly. The results demonstrate that the system effectively reduces the effort required for gift selection and improves user experience by providing quick and meaningful recommendations. This project also highlights the basic concept of recommendation systems and serves as a foundation for future enhancements using machine learning techniques.