LazyFood | Devpost

Here we show todays meals, including ways to log your meal.
This is the user’s history, which tracks each food they’ve logged along with its calories, protein, and the meal type.

Inspiration

Many of us would like to keep better track of our own diet - being able to see a summary of what you've consumed helps us stay healthier - whether you are just trying to prevent diseases like diabetes and heart disease, or trying to build your physique.

One issue that many of us experience when attempting to keep track of our diets is that we are unsure of what we are consuming. Often times, we make homemade foods that are difficult to keep track of nutritional value. Other times, we eat weirdly sized portions of food, or might have even forgot specific details. We often don't know what values to enter when we try to log our food - eventually leading to the discontinued use of diet logging apps.

What it does

LazyFood allows you to log your food without having to think much about it. Simply text, type, or even take a picture of your meal from your phone, and LazyFood will use information available online to determine an accurate estimate about the nutritional value of your food. Google's ADK is used to allow agents to search the internet for matching items - whether it is a home-made meal made of many ingredients or a burger from your favorite restaurant. To ensure you get the most accurate estimates, LazyFood can also ask a short set of brief, multiple choice questions to help clarify important factors about your meal (such as if a food was fried or baked, used whole wheat bread or white, etc.). Additionally, if you have regular patterns in your diet - such as always eating baked chips as opposed to fried - LazyFood allows you to save these patterns as memories to always be taken into account when you log a meal.

How we built it

Database - PostgreSQL
Frontend - React, TypeScript, CSS
Backend - Django, Django Rest Framework (DRF)
Agents - Google ADK (Agent Development Kit)

Challenges we ran into

One of the major challenges was using Google-ADK. Another one was that one of our teammates didn't have much experience in Django, but we found roles where he could fit in.

Accomplishments that we're proud of

One accomplishment that we're proud of is utilizing Google-ADK in our project.

What we learned

The biggest thing we learned was how to use Google-ADK. There was also people in our group not very experienced with some topics so they had to learn a few things on the go.