Foodle

Inspiration

As freshman in college, we noticed that people weren't careful about what they put in their mouths. We college students are so busy with other things in life that we neglect our nutritional progress.

What it does

Our app allows users to input meals that they eat each day. With a publicly available dataset, we determined the nutritional intakes of each food and stored in a SQL database hosted by Cockroach Labs.

How we built it

With a publicly available Kaggle dataset, we determined the nutritional intakes of each food inputted by each user and stored in a SQL database hosted by Cockroach Labs. We made a Python script that adds user functionality and data visualizations to allow users to track their progress over time.

Challenges we ran into

We weren't experienced with the Cockroach database and SQL, so we spent a large portion of our time getting acquainted to these frameworks. We had limited front end development experience, so we could not connect our user interface to the backend.

Accomplishments that we're proud of

We are proud we got the Cockroach database to work, since it really helped streamline user functionality by allowing access to past records for future analysis.

What we learned

We learned various APIs that we can use in the future, such as Pandas, Tabulate, and Matplotlib. We have learned about how to do data visualization for benefitting users.

What's next for Foodle

Some features we want to add later are giving recommendations for balanced diets, having a social media component to allow users to share lifestyle tips with each other, and predicting trends within the human population based on long-term data.