Sylva - Plant Scanner

Sylva

A revolutionary mobile app empowering users with plant care knowledge. With a user-friendly design, it uses AI image recognition for personalized guidance on water and sunlight needs. Educating users, Sylva fosters gardening success, making them confident and informed plant enthusiasts.

My Role: UI/UX Designer

Tools: Figma

Project Type: UI/UX Prototype Development

Project Summary

Sylva is a mobile application designed to empower users to learn about care requirements for various plants. The objective was to create a clean and consistent layout with a minimalistic interface that would enable users to capture plant images, utilize image recognition technology powered by AI, and receive guidance on providing the right amount of water and sunlight for their plants. The app aimed to educate users about specific plant care needs, ultimately enabling them to become more confident and successful in gardening.

The Challenge

The challenge was to design a mobile app that would educate and guide users in plant care. The focus was on creating a user-friendly interface that would integrate image recognition technology to identify plants and provide care instructions. It was important to maintain a clean and consistent design while ensuring the app was intuitive and informative for users with varying levels of gardening experience.

The Solution

The Sylva mobile app was designed to tackle challenges and enhance user experience. Key solutions included:

Clean and Minimalistic Design: The app adopted a clean and minimalistic design approach, ensuring a visually pleasing interface. Providing a calm and inviting user experience. The interface was designed to accommodate users with varying levels of gardening expertise. Clear and concise instructions were provided to guide users through the app's features and functionalities.

Image Recognition Technology: Integrated image recognition technology powered by AI allows users to capture plant images and identify their species accurately. This feature served as the foundation for providing customized care instructions.

Tailored Care Guidance: The app provided users with detailed care instructions specific to each identified plant. It educated users about the amount of water and sunlight required, as well as any additional care tips for healthy plant growth.

User Persona

Sylva Persona

Information Architecture

Sylva - Information Architecture

User Flows

User flow task

Wireframes

Wireframe

Style Guidelines

Typography

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Mockup

Prototype
Sylva Mock up
Sylva Mock up 2

Prototype

Prototype

View Prototype

Wrap Up

In reflecting on the Sylva mobile app, it's exciting to see the positive response to the clean design. However, I acknowledge that not having the opportunity for user testing is a missed chance to dive deeper into the user experience.

User testing would have been invaluable in assessing how easily users navigate the app. Insights into their interactions would guide us in refining the user journey and ensuring a seamless experience.

A/B testing, especially on the plant details page, could have informed me about the most effective ways to present information. Understanding user preferences in content layout would contribute to a more engaging and informative interface. Assessing the simplicity of configuring plant reminders would have been a crucial element in our testing process. This evaluation could have provided insights into users' experiences, revealing whether setting reminders was intuitive and met their expectations. Ensuring the alignment of this feature with users' needs is essential for delivering a seamless and user-friendly experience.

Real-world testing of the image recognition technology would have provided insights into its accuracy across different scenarios. Observing user interactions with image capture and identification could have identified areas for enhancement.

The positive feedback on Sylva is encouraging, but as a UX designer, I recognize the importance of ongoing user testing. Incorporating user feedback in future iterations will allow me to continuously refine the app, addressing any challenges and prioritizing the user experience for plant enthusiasts.

© 2023, Designed and Developed by Matthew Yuen