Food Track - Nyzar

Inspiration

Nowadays most people are looking for healthy ways to eat and despite following a diet some people still don't manage to reach their goal.

What it does

Our app will help people by analyzing the food using Augmented Reality and will give full nutrition information about the given plate, our app will also help the user follow a specific diet plan by telling the user whether the food that they've just chosen fits the diet or not.

How we built it

We used TensorFlow and OpenCV to build the application. The application works by detecting different food items using the camera.

Challenges we ran into

The internet connection was very low and it slowed down our workflow
Finding the right API that serves our app idea and purpose
Detecting the food correctly and identifying the calorie and nutrition count
Dealing with food that are unknown and are in deep dishes
Designing the user experience in a way that the food is detected and the information is displayed in real time

Accomplishments that we're proud of

Our UI and UX

https://www.figma.com/proto/g6uAAQkN0jcw8Hdt2zcWpe/Nyzar-prototype?node-id=30%3A2&scaling=scale-down

Our implementation:

https://drive.google.com/drive/folders/1PLHXR09Cy-l1c7i7JONecC7M7N1jOJvn

What we learned

We learned how to use TensorFlow and OpenCV
Working under pressure and accomplishing tasks
Working with individuals from different backgrounds

What's next for Nyzar

Nyzar will be your personal nutritionist/dietitian and you will have a community of healthy individuals who will share their goals and achievements with you to keep you motivated.