Objective:The primary objective of the "MARG-E" project was to create a user-friendly and innovative platform that leverages AI technology to offer a seamless digital closet experience. The focus was on enabling users to effortlessly visualize outfit combinations through a minimal and clean aesthetic.

Context:"MARG-E" was conceptualized as a digital platform catering to individuals looking for a modern solution to organize and explore their wardrobe. The project aimed to simplify the process of outfit planning and provide users with a visual preview of different clothing combinations.

Problem Statement:The challenge was to address the common issue of wardrobe management and outfit planning. Many individuals find it time-consuming and challenging to create outfits from their existing clothes. The goal was to harness AI technology to streamline this process and offer a visually appealing solution.

1. User-Centric Design:The project began with a deep understanding of user needs and behaviors. Persona development and user journeys helped identify pain points in traditional wardrobe management.

2. AI Integration:The focus was on creating a system that could generate outfit suggestions based on user-inputted images of clothing items.

3. Minimal Aesthetic:A clean and minimal aesthetic was chosen to enhance usability and create a visually pleasing experience. The design aimed to eliminate clutter and distractions, allowing users to focus on their clothing choices without visual overload.

4. Prototyping and User Testing:Interactive prototypes were created to test the usability of the platform.