GREENTRaiL
![background with logo](https://freight.cargo.site/t/original/i/838595798c1d70a5002616dc5c848facda170385b3bbee23d41f2e6795eb9ced/presenation-1.png)
![different ui/ interfaces](https://freight.cargo.site/t/original/i/97520b16ea6672d9ff81c19fbb0e307f1658a3a7b22dbe05ba1dc61c7ab56bd1/how-me-made-UI-edition.png)
![logo](https://freight.cargo.site/t/original/i/a188426530a4ced32d4dc4f72dd120230a793f448072e4e765fef98e6d7603d5/Group-2.png)
role: product designer, conceptual researcher
software : figma, swift,
terra api, ios healthkit, firebase
timeframe: 2 dayssoftware : figma, swift,
terra api, ios healthkit, firebase
Hiking app that synthesizes biometric data taken from wearables through
terra api and wildlife data to reccomend hiking routes based on activity levels.
Created as part of Hack Harvard 2023 with Luke Atkins, Ruth Lu, and Tingwei Shi.
inspiration:
Hiking has exploded in popularity since the pandemic with more than 80 million Americans hiking in 2022 alone. There are many large mental and physical health benefits to hiking, however it can be daunting to select routes as a beginner. It is difficult to imagine how a route would feel before going on it, especially for those without past input.
In addition, many times hikers also don't take into account wildlife when choosing routes. Animals such as elks have also been shown to change behavior up to 1 mile away from hiking trails, and this has far reaching implications to the greater biosphere. With climate change being a threat to traditional migration paths, increased human activity can be detrimental to the already fragile patterns.
GREENTRaiL is an app that will give users personalized recommendations and help make hiking more eco-friendly.
process:
UI/UX prototyping was sketched first traditionally, and then brought into Procreate to develop final color and brand identity. High fidelity wire-framing was then done on Figma, and then the final UI/UX was refined using those prototypes.
GREENTRaiL was coded using Swift and integrates terraAPI to get wearable data and aggregate data of all the people who have taken the past trail.