AI-Based Fashion Style Advisor Using CNN and BERT for Clothing Compatibility and Style Enhancement

This project presents an AI-powered system that assists users in evaluating and improving their clothing style based on image inputs. The user uploads a photo of their clothing items, and the system provides smart recommendations on whether the garments match in terms of color coordination and style compatibility.

The system uses a Convolutional Neural Network (CNN) to analyze the uploaded image, predicting key attributes such as color palette and clothing type (e.g., jeans, t-shirts, jackets). These extracted features are then passed to a BERT-based NLP model, which generates contextual fashion advice — indicating whether the clothing items are well-matched and offering suggestions to enhance the overall style.

The goal of the project is to combine computer vision and natural language processing to simulate a personalized virtual stylist, enabling users to make more confident and fashion-forward outfit choices.