ARDA | Devpost

ARDA's logo.

Inspiration

ARDA was conceived as a way to streamline the process of tracking health in a fun and tangible way. We looked to common health apps and thought that they needed a bit more flavor.

What it does

ARDA stores users' exercise data and meals as the user inputs them. Unlike other apps, ARDA forces you to enter the meals you ate for the day WITH your workout data so that you are always accountable for your health. ARDA makes this easy - just describe your meals, and AI does the rest. When it detects that you've been meeting healthy objectives, it'll recommend you a cheat meal to celebrate.

How we built it

We used Python's Streamlit library to build the frontend, with Pandas and NumPy used to assist in data analysis and storage.

Challenges we ran into

The front-end development was a new experience. When some elements did not work, we often had to reapproach the problem to get a working experience.

Accomplishments that we're proud of

We are proud that we were able to bring the console-based logic that we typically do in our coursework to a user-friendly front-end. Ease of interpretation was one of the main objectives of ARDA, after all.

What we learned

We learned how different Python libraries interface with each other, as well as how to collaborate effectively with GitHub. Also, we learned to make sense of an abundant amount of data in a fun way.

What's next for ARDA

We hope to be able to implement a chatbot that users can ask for help and guidance for their health. For privacy reasons, it would be preferable if we can get a locally running custom built model working. We also want to implement an interface that allows ARDA to connect to health data from other apps such as Apple Health.