Skin Guard

Inspiration

Seeing the rise in skin cancer cases, we wanted to create a tool that helps people take proactive steps to protect their skin from harmful UV rays. SkinGuard aims to make sun safety simple and effective for everyone.

What it does

We combined AI and real-time UV data to build SkinGuard, focusing on making the app easy to use and accessible for everyone.

How we built it

We combined AI and real-time UV data to build SkinGuard, focusing on making the app easy to use and accessible for everyone.

Challenges we ran into

Getting real-time and tailoring advice for different skin types was tricky, especially since it was our first time making AI. It took a lot of trial and error, and we also focused on making sure the app works smoothly on all devices.

Accomplishments we are proud of

We're proud to have developed a practical tool that can significantly enhance daily skin protection. SkinGuard's ability to provide real-time, personalized sun safety tips is a major achievement for us.

What we learned

We learned the importance of making health tech not just functional, but also engaging and user-friendly. Understanding user needs and integrating real-time data effectively were key lessons in this project.# Accomplishments that we're proud of

What's next for Skin Guard

Next, we plan to add a logging feature where users can track their skin's condition over time. This will allow us to use AI to monitor if treatments for conditions like melanoma are effective, helping users manage their skin health more proactively.

Built With

• ai
• githib
• python
• thunkable