We know many people especially uni students are on a budget. We know sometimes we eat unhealthy fast food just to save money.

Thus, we come up with a website with the aim to help people to keep track of their food costs and make frugal homemade meals.

Frugalicious! Compile a list of ingredients and their estimated costs and nutrition on demand.

Generate a list of possible cheap and healthy meals from the selected ingredients for you. We also provide recipe options for users with special diet requests.

Provides a platform for like-minded people to share the latest food discounts and good recipes they found (with an AI guarding profanity :D ).

1. Backend: CodeBrew2023_BackEnd_NodeJS
   • NodeJS + Express
2. Frontend: codebrew-frontend
   • ReactJS (Vite)

1. Install NodeJS (version 18)
2. Download both the front and back end
3. To start the front end:

npm install
npm run dev 

4. For the backend, due to security & privacy reasons, we can't publish our .env file. You could create your own following this structure (and pre-fill the products table):

CROSS_ORIGIN= <origin of the front-end> 
NODE_ENV = "testing"
PERSPECTIVE_API_KEY = "..."
MONGO_URI = "..."
FOOD_CENTRAL_KEY = "..."
SPOON_RECIPE_KEY = "..."
SYS_SECRET_KEY = "..."

5. To start the back end:

npm install
npm run start 

• For UI and UX (Diana & Cindy): Figma.

• For Front-end (Terry): ReactJS (Vite).

• For Backend (Khang): NodeJS with Express, MongoDB Atlas for our database (API details in backend folder).

• Hosting (Terry): Vercel (React) + Trying to find VM for the server

• Business Pitch and Presentation (Jonathan).

We are a group of first-year students and some of our team members don’t have any experience in creating a website.

We need to get the price of ingredients from Woolworths, but we couldn’t get Woolworth’s APIs and had trouble using python beautiful soup to scrape their data.

Host full-stack website.

Make a mobile app! Users can calculate recipe costs anytime anywhere.

Get APIs for major supermarkets and update data regularly.

Add a comment session to the post area.

Implement an AI chat box to answer users’ questions and generate responses according to users’ diet habits/requests.