Mira - Smart Wardrobe Assistant
Key Skills
UX Research, Physical Prototyping & UI Prototyping
Timeline
Class
Mira was developed as the final project for CGT 27208, a course focused on UX design and digital product development. The assignment challenged us to design and prototype a user-centered experience that solves a real-world problem using research, wireframing, and testing.
We chose to address the everyday frustration of outfit planning. Mira is a smart wardrobe system that helps users choose outfits efficiently while promoting sustainability and self-expression.
Final Design
The Smart Wardrobe Assistant is a hybrid digital-physical system designed to simplify daily outfit planning while promoting sustainability and self-expression. The final experience integrates:
Mobile App: A clean, intuitive interface that allows users to upload clothing items, receive AI-generated outfit suggestions based on weather and calendar events, and plan looks in advance.
Smart Mirror: An AR-powered mirror that projects virtual outfits onto the user’s reflection. It includes an LED light system that changes color based on real-time temperature data (red = warm, white = mild, blue = cold), powered by an Arduino circuit.
AI + ML Integration: The app uses machine learning to understand user preferences and generate personalized outfit combinations from their own wardrobe.
IoT Connectivity: The mirror and app communicate via Wi-Fi, using APIs like OpenWeather to provide real-time contextual recommendations.
Together, these components create a seamless, assistive dressing experience that’s both functional and delightful.
Process
Reflection
Team collaboration and early research were key strengths, helping us align quickly and build meaningful features. My contributions to the design system and documentation helped clarify our visual direction and communicate our concept effectively.
Challenges included narrowing the scope, integrating hardware, and organizing clothing data. If we were to do it again, we’d start prototyping earlier, validate decisions with a second round of interviews, and finalize hardware sooner to better connect the digital and physical experiences.
Click the links below to view the full details of the project!
