Our project was inspired by the widespread challenges people face in accessing healthcare and medicine. For example, many individuals either lack insurance or have insurance that doesn’t adequately cover doctor visits. We also drew inspiration from existing symptom-tracking apps, a concept we were motivated to improve.
Our app tracks symptoms and injuries to provide feedback on recovery, recommended courses of action, and possible suggestions, using Gemini AI to generate personalized responses. It also creates a concise PDF that can be printed or shown to a doctor, helping improve communication and understanding of the patient’s condition.
We built most of the app using AI, vibe-coding, and debugging. For development, we primarily used Replit, while ChatGPT and guidance from our mentors were invaluable in helping us debug and refine the project.
Some of the biggest challenges we faced were coming up with an idea that we could all relate to and turn into a strong app, especially given our limited experience and the fact that we are still pre-majors. Debugging was another major hurdle, as few members of our team had experience with Python or the frontend aspects of app development.
We are proud to have created a presentable and clean web app as well as a mobile app. It showcases the hard work we put into designing, coding, and refining the project, especially as a team with limited experience.
We learned a lot about working as a team, bouncing ideas off each other, breaking down problems, and creating clear paths to pursue. We also gained a deeper understanding of AI, its uses as a problem-solving tool, and how we can collaborate both with industry veterans and among ourselves to bring an idea to life.
As for the future of Meditrack, we would love to continue developing and enhancing the app, aiming to create a more robust platform once we enter our majors.
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