Inspiration

Creating a meal plan in advance is not easy. Keeping it healthy with a student's limited pantry options is even more difficult. To solve this issue of creating healthy meals out of random ingredients in our fridge, we set out to create EatFit.

What it does

EatFit is a meal planning app which makes the best out of the ingredients in your refridgerator while also making sure that you meet your daily calorie and macro requirements. It is a one-stop shop for people wanting to eat healthy without dealing with the hassle of going out to buy specific ingredients at the last moment. PS: we also provide a shopping list if you do decide to go ;)

How we built it

We used the AWS Lambda and S3 services to serve/run our recommendation API and we consume it using a feature-rich React-based frontend.

Challenges we ran into

Limited time was the biggest challenge for us. We have a lot of ideas for this project, but were able to implement only a few in this short time frame. Also, we had a minor merging hiccup while working with Git, but we managed to fix it quickly and move on.

Accomplishments that we're proud of

Working with AWS Lambda for the first time was definitely a great learning experience, which also turned out to work great for our usecase. Also, we're pretty happy with how pretty and interactive our UI turned out to be!

What we learned

The most important aspect we learnt from this hackathon is planning and prioritization, time management and effective collaboration with teammates. Learning AWS technologies like Lambda and S3 and how they can be used was also fun.

What's next for EatFit

  • We plan to implement more preference filters such as veg/vegan, allergens, and spice tolerance.
  • Integrating sophisticated and personalized recommendation systems could be a possible way to better our suggestions.
  • Integration with third-party retail stores like Walmart and Target.
Share this project:

Updates