Inspiration

We desire to improve everyone's life through AI-powered wellness apps.

What it does

This application tracks your food intake and monitors the caloric and macronutrient intake over time. It calculates a caloric goal, and helps users monitor their intake.

How we built it

We utilized Google Gemini AI to produce large amounts of HTML, CSS, and JavaScript code. We used VS Code as our Integrated Developer Environment connected with GitHub to allow for easy collaboration.

Challenges we ran into

Utilizing GitHub and it's Merge feature was difficult and occasionally produce poor merges requiring reverts. We had a challenge getting the API to connect with Gemini AI, but with Gemini's help, we were able to connect it successfully.

Accomplishments that we're proud of

We are proud of the final API connection to Gemini that returns caloric and macronutrient data from raw English text. We are also proud of the history feature that logs past food intake.

What we learned

We learned how to use Gemini API to return useful data, and how to use Gemini as an AI tool for general querying, code generation, debugging, and more!

What's next for Food Tracker Pal

We would to love to develop this application as a mobile app!

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