Inspiration

Looking around you in your day-to-day life you see so many people eating so much food. Trust me, this is going somewhere. All that stuff we put in our bodies, what is it? What are all those ingredients that seem more like chemicals that belong in nuclear missiles over your 3 year old cousins Coke? Answering those questions is what we set out to accomplish with this project. But answering a question doesn't mean anything if you don't answer it well, meaning your answer raises as many or more questions than it answers. We wanted everyone, from pre-teens to senior citizens to be able to understand it. So in summary of what we wanted to do, we wanted to give all these lazy couch potatoes (us included) an easy, efficient, and most importantly, comprehendible method of knowing what it is exactly that we're consuming by the metric ton on a daily basis.

What it does

What our code does is that it takes input either in the form of text or image, and we use it as input for an API from which we extract our final output using specific prompts. Some of our outputs are the nutritional values, a nutritional summary, the amount of exercise required to burn off the calories gained from the meal, (its recipe), and its health in comparison to other foods.

How we built it

Using Flask, HTML,CSS, and Python for backend.

Challenges we ran into

We are all first-timers so none of us had any idea as to how the whole thing worked, so individually we all faced our fair share of struggles with our food, our sleep schedules, and our timidness, which led to miscommunication.

Accomplishments that we're proud of

Making it through the week and keeping our love of tech intact. Other than that we really did meet some amazing people and got to know so many cool folks. As a collective group, we really are proud of our teamwork and ability to compromise, work with each other, and build on each others ideas. For example we all started off with different ideas and different goals for the hackathon but we ended up all managing to find a project we all liked and found it in ourselves to bring it to life.

What we learned

How hackathons work and what they are. We also learned so much more about building projects within a small team and what it is like and what should be done when our scope of what to build was so wide.

What's next for NutriScan

-Working ML -Use of camera as an input to the program -Better UI -Responsive -Release

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