We chose to enhance students online and in-person education by focusing on the nutrition intake the average student gets from school.
What it does
Our platform is EduEat, a platform that educates users about the nutritional content of their meals. Users will take a picture of their meal to learn about what they have and don’t have in their meal.
How we built it
We used many types of technology to achieve this. For the website, we used a Flask framework, which utilizes Python, Jinja, HTML, and CSS. For the image analysis, we used the Google Vision API. Lastly, we made a website prototype with Marvel.
Challenges we ran into
We struggled to find proper algorithms for our situation, because our idea is unique in many aspects.
Accomplishments that we're proud of
We learned a lot of code, and built a good website in a very short period of time.
What we learned
We learned a lot about coding and hackathons in general from the amazing workshops IBY hacks hosted. We also got helpful insights regarding school lunches and nutrition in general.
What's next for EduEat
In terms of next steps, we plan to improve our app and website, to a point where our platform is easily accessible and efficient at its job. To do this, we must enhance our computer vision algorithm, and spread awareness about our cause. We also want to gain help from other businesses supporting similar causes, and nearby schools interested in our idea.