2023
UX/UI, Branding
Figma / Illustrator /
Photoshop/ After effects
Mobile
Many young people who have migrated to a new city often experience feelings of nostalgia and a desire to reconnect with the places they grew up in. However, they may struggle to find meaningful ways to express this longing and sense of belonging.
A mobile application that employs visual analysis algorithms to offer personalized merchandise recommendations based on users' emotional connections to specific locations in Israel.
In conducting market research, I analyzed various t-shirt and clothing design generators to understand trends, user preferences, and design functionalities.
I interviewed individuals aged 20-30, my target audience, to understand their preferences and challenges related to the platform. These insights were crucial for informing its development.
For visual research, I took Haifa as an example, capturing its unique landmarks and cultural elements. demonstrating how the app can incorporate local imagery to evoke nostalgia and emotional connection for users with a personal affinity for the city
Futhermore cutomisationDespite being presented with multiple merchandise options generated by the algorithm, users express a desire for further customization, including adjustments in color, size, and other parameters
Personalized Recommendations The app should incorporate users' favorite places or interests to generate personalized design options tailored to their preferences.
Ease of Use Users value a user-friendly interface that makes it easy to navigate and customize their merchandise without complications or confusion.
Concluding, the "Starting point" app ensures easy navigation and offers a variety of design options, including personalized recommendations. With minimalist aesthetics, it delivers a tailored experience for every user's unique style.
To understand how things are going to work I constructed the app flow using a flowchart.
Then to understand how things are going to look I created low-fidelity and high-fidelity wireframes.
