Clothing Style Recomendation System

The Clothing Style Recommendation System is an intelligent application designed to assist users in selecting suitable outfits based on their personal preferences, fashion trends, and contextual factors such as occasion.The primary objective of this system is to provide personalized clothing recommendations using Artificial Intelligence (AI) and Machine Learning (ML) techniques.The system collects and preprocesses clothing image data, extracts important visual features such as color, pattern, and texture using deep learning models like Convolutional Neural Networks (CNN), and applies recommendation algorithms such as K-Nearest Neighbors (KNN) to generate accurate suggestions.User inputs including gender, preferred colors, body type, and occasion are analyzed to enhance personalization.By integrating fashion data with AI-driven insights, the system improves user experience, reduces time spent on outfit selection, and supports better decision-making in online shopping platforms.This project demonstrates how data-driven fashion intelligence can transform the traditional clothing selection process into a smarter and more efficient experience.