YourPersonalDietAI

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  ROOM 133A i love you!

Inspiration

Growing up in Latin American countries all of our team members were surrounded by either overweight or underweight people, not by choice but because they didn't know better. We wanted to solve this problem and help those who want to live a healthy and balanced lifestyle while not spending much money.

What it does

It gives personalized low-cost dietary options with the help of Gemini API, it takes a series of parameters to give a highly personalized and customizable meal plan.

How we built it

We used Python for the front and back end Streamlit as a framework to create a seamless interaction of both ends and deploy the app. We also had to use some HTML for the formatting of the web page. We used Google Gemini API to create the response of the bot.

Challenges we ran into

From the very start, almost everything was a challenge being first-time "hackers" with little to no real-world experience on projects, even understanding Git was very difficult. It took us more than 5 hours to create the git hub repository... From there learning HTML, how to use Streamlit, and Gemini's API, and working together as a group of "hackers" was a very steep learning curve.

Accomplishments that we're proud of

Understanding git hub. Geminis API integration and deployment of the app were also pretty challenging but we are so glad we made it work.

What we learned

DO NOT PUSH TO MAIN!

What's next for YourPersonalDietAI

From the very beginning of the creation of the concept of the web app, there was some talk about including some web scraping in the app. From here we want to implement this new feature to give users links to websites with cooking recipes.

Built With

• api
• gemini
• github
• html
• python
• streamlit