Diet Web App

User Intake: Diet Preference
User Intake: Available Ingredient
Food Recommendation: Video Recipe
Food Recommendation: Nutriention Status
Personalize Nutritional Advice for Recommended Dishes
Restaurants Nearby

Inspiration

We were inspired by the idea of having a convinent and healthy diet after doing exercises. The overall cook or food purchase planning could be the last one mile to win and we want to help optimize it to increase young and busy people's diet quality and save them some time by providing a straight guide.

What it does

It takes in some basic information about a user like their food preferences, current fitness goal, allergies and choice of dining; then the program outputs the recommendation of guide of home cook or the healthy restaurant with corresponding preferred food by the user. It will also give the food neutrients to the users.

How we built it

We built it using functions like streamlit, matplotlib, and fastAPI, openai, etc to write prompts and functions on the demo file; Then correspond it with the frontend file to make it a web page with all the buttons and question routes that outputs based on the information collected from the user.

Challenges we ran into

We had a hard time managing git, setting up directories and connecting the API keys. We also encounters some obstacles like how to start as freshman on front end design and demo.

Accomplishments that we're proud of

We were proud of our work on the fancy outlook of our application, the success of using google api and openai api to connect youtube videos and AI language model as assistant to our project, the neutrient visualizations and the general comments generated. The most important is that we worked as a really great team. All of us learned a lot from this project since we were all pretty fresh on everything.

What we learned

We learned how to design a front end page; How to manage git version control system. We also learned how to connect API and utilize it to applications. We also learned a lot on effeciently developing functions and how to debug them with the help of artifical intelligence.

What's next for Diet Web App

If condition permits, we plan to develop it as an app instead of the demo showed as a web page. We also want to launch it on apple store and corporate it with gym apps so that we are able to develop better food menu and provide more personalized healthy food that better fits the needs. We believe that those who value the fitness and healthy will enjoy using our app as a diet planner and become a better healthy cook at the same time!