Stylo: An AI-powered Android App That suggests outfits tailored to your Body type ,Occasion and Personal style

Abstract

The Stylo is an AI-powered Android application developed using Java/XML with Firebase Realtime Database as the backend, designed to deliver personalized outfit recommendations by intelligently combining user appearance data, style preferences, and comfort priorities. The application integrates two machine learning techniques: a Convolutional Neural Network (CNN) for image-based analysis and a Decision Tree algorithm for questionnaire-based decision making. The system collects comprehensive user inputs including basic physical attributes (gender, age, height, weight, and body type), skin tone and hair color, preferred clothing fits and styles, color confidence and avoidance patterns, fabric preferences, and the balance between comfort and style. Uploaded user images are processed using CNN models to analyze visual features relevant to body structure and appearance, while a Decision Tree model evaluates structured questionnaire responses to classify user preferences and match them with suitable outfits.