Paper Contents
Abstract
AI DRESSING refers to the use of artificial intelligence technologies to simulate, suggest, or assist in selecting clothing and fashion combinations. Al dressing applications are widely used in virtual try-on solutions, fashion e-commerce and styling assistant. Basically its a dilemma to select a outfit for our occasion so basically this helps us to select the right outfit .AI dressing it is AI bot which helps us to style accordingly to our outfit .AI projects predominantly utilize Python due to its simplicity, readability, extensive libraries for machine learning and AI development, and a large and active community.Choosing the right outfit can be both time-consuming and subjective. In the era of smart technology, there is a growing interest in AI solutions that can simplify the process of clothing selection and virtual try-ons. AI Dressing, also known as AI-based virtual dressing or virtual try-on, refers to systems that use artificial intelligence techniques to simulate how clothes would look on a person without the need to physically wear them. Such systems typically involve image processing, computer vision, and deep learning models.In this project, we explore the implementation of an AI Dressing system using Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, and Media pipe. The system can detect a human body in an image, segment it, and overlay a clothing item on the users image with realistic fitting and alignment. Furthermore, an outfit recommendation engine can be incorporated using machine learning models trained on user preferences, occasions, or fashion trends.This AI Dressing application has promising use cases in online shopping, personal styling apps, digital fashion, and virtual reality, of offering a practical and interactive solution for modern wardrobe management
Copyright
Copyright © 2025 K.V.GANESH. This is an open access article distributed under the Creative Commons Attribution License.
