DR.MA

Inspiration

We believe everyone deserves the right to a correct diagnosis, no matter their background or race Misdiagnosis helps no one and giving doctors, patients, and dermatologists a tool for more accurate assessments that can only help

What it does

DR.MA is a centralized and quick way for medical professionals to get confirmation on their diagnosis in a simple way in real-time. DR.MA can address racial biases in the medical field and save lives.

How we built it

We utilized flask and python for backend development, and HTML, CSS, and JavaScript for frontend development. We also incorporated Google Could Vision API for image analysis.

Challenges we ran into

We had challenges with getting our output to fit into the text box on the user end. This could have been prevented if we had worked on integrating the frontend and backend together. In addition, we were going to use Open AI at first, but it did not have the capacity to analyze images so we switched to Google Cloud Vision.

Accomplishments that we're proud of

Before this project, none of us had created a creative project combining different languages for both frontend and backend development. In addition, this was our first time using Google Cloud Vision and Perplexity AI so we are proud of how much we achieved.

What we learned

Leave more time for integrating the backend and frontend! Also, we learned that asking other teams and utilizing the help of mentors is crucial, and it is the best way to learn from these hackathons.

What's next for DR.MA

We hope to be able to make advancements to DR.MA to expand our reach. This includes: output images of skin conditions that match specific searches, allowing the input of multiple photos, choosing a specific skin tone, inputting specific skin conditions, and generating images that match the skin tone.