Authors: Sharmila P, Harini S, Harini D, Harini RV, Jothivarshini S, Karthi S
Abstract: In recent years, personalized fashion recommendation systems have gained significant importance due to the growing demand for customized user experiences in online shopping platforms. This project presents a Smart Dress Recommendation System that provides personalized clothing suggestions based on individual user preferences and physical attributes. The system employs a rule-based recommendation approach, where users are guided through a structured questionnaire to collect essential information such as occasion, gender, budget, style preferences, body measurements, body shape, and skin tone. The body measurement module analyzes user inputs to classify body types such as pear, rectangle, apple, or hourglass, while the skin tone module allows users to select their skin color from a predefined palette. Based on these parameters, a set of predefined rules is applied to recommend suitable dresses that enhance the user’s appearance and meet their personal preferences. The system ensures that fashion suggestions are practical, affordable, and visually appealing by considering budget constraints and occasion-specific requirements.
