Picking a new outfit every day and finding those items in our messy closets can cost significant time and mental resources. On average, individuals take about 17 minutes every morning to get dressed. Additionally, the numerous decisions that are required in the outfit selection process can result in degradation of our decision making capability, making them less productive and effective throughout the day.
The Problem
Our Mission
To simplify the process of getting dressed by aiding users in outfit selection through an intelligent, automated and space efficient system
Armari in a Nutshell
Armari consists of an electro-mechanical system for the storage of the clothing items and a mobile application that bridges the gap between the physical system and the user in order to provide effective outfit selection and location.
One of Armari's best features is that it's modular and can be built to suit every user's needs:
How It's Assembled
Here's a quick video on how to assemble one sub-compartment. Want more compartments? Just add on!
The Team
Miguel Lopez
Miguel is our team's Software Lead. Thus far, he has been responsible for Armari's app design and researching algorithms for suggestions based on historical data, algorithms for colour matching and implementing them, and algorithms for clothing classification along with Ayodeji. His role also involved researching frameworks and technologies necessary for the mobile application, as well as prototyping the app using the chosen framework.
Ayodeji Ige
Ayodeji is Amari's Electrical and Firmware lead. His role in part, has consisted of the electrical design and analysis of the project. This includes the design of the control and power circuit for the LEDs. He carried out detailed analysis to inform the selection of electrical components and designed the PCBs used within Armari's Joints and Connection Panels. He was also responsible for firmware design and selection of the communication protocol between the hub and the app. He worked closely with Miguel to research and select the algorithm used for clothing item classification and later worked with Helen to train and implement the classification algorithm.
Helen Cho
Helen is our team's Mechanical Lead and Project Manager. She has been responsible for the detailed mechanical design of the project and the CAD for the configurable shelves design. She does most of the project's structural analysis for validation of the design. She also worked with Saba to select, purchase, machine, 3D print, and assemble most of the physical components in Armari. Additionally, her responsibilities as a project manager included updating the Gantt chart and Airtable with the appropriate tasks to keep the project on schedule. She was also responsible for training the classification algorithm used in the back-end of the Armari app. She also designed the team's symposium poster.
Saba Sadegh-pour
Saba is also the team's Mechanical Lead and Web Designer. She has been responsible for helping with Armari's detailed mechanical design (e.g., editing the CAD) as well as the design of this wonderful website. In addition, she was responsible for sourcing parts as well as providing the team with cost estimates. She has also been working alongside Helen to select, purchase, machine, 3D print, and assemble most of the physical components in Armari.