INCLUD. | WEB APP
AI & MACHINE LEARNING
Includ. is a data-driven prototype software to which will highlight potential areas of bias in content. The objective is for Includ. to be able to identify all forms of bias in imagery and literature content using AI and machine learning.
Includ. is a startup that aims to create a data-driven prototype software which can highlight potential areas of bias in content. My role as a UX designer was to design a web app that could identify all forms of bias in imagery and literature content using AI and machine learning. The project aimed to address the problem of bias in content, which can be a major issue in fields like media, and advertising.
For the Includ. web app, I started with UX interviews, uncovering a heightened demand for inclusivity. Guided by these insights, I developed a UX strategy featuring a user-friendly interface and real-time bias feedback. The design stages produced brand-aligned wireframes and modern, accessible mockups, refined through consistent user feedback.
Seamless User Experience
Now, I'm excited to present the mockups for the Inclued. web app. These visual representations, refined through feedback and our insights, showcase the app's user-centric design and our commitment to modern aesthetics and accessibility. Dive in to see our vision come to life.