Oasis is a conceptual native iOS and Android app that combines real-time plant data with practical care guidance.
The project explores how moisture, sunlight, and temperature readings can be translated into clear, actionable information for everyday plant owners. The objective was not simply to display data, but to help users understand what their plants need and act with greater confidence.
I reviewed plant-care apps including Blossom and WatchFlower to compare their data presentation, guidance, setup flows, and platform patterns. The analysis highlighted opportunities to give data more context and simplify the path from information to action.
I mapped the journey from onboarding and device pairing to plant monitoring, ensuring that each step prepared users for the next and made the value of the system understandable.
Early sketches explored how moisture, light, and temperature data should be grouped, prioritized, and connected to recommended actions.
I translated the structure into high-fidelity iOS and Android interfaces. Native patterns were adapted where necessary while the shared visual language maintained a consistent product identity.
I tested high-fidelity prototypes to understand how participants interpreted the data and moved through the main flows. The findings led me to improve contrast, simplify navigation, and remove visual elements that competed with essential information.
1. Making Complex Data Understandable
Raw measurements were paired with clear status indicators, concise language, and simple charts so users could understand both the current condition and whether action was needed.
2. Maintaining cross-platform consistency
The iOS and Android versions needed to feel related without ignoring platform conventions. I preserved a shared hierarchy and visual language while adapting navigation and controls to familiar native patterns.
