Inspiration
We were inspired by our own struggles to meet our nutritional goals while eating tasty food from our favorite restaurants. We realized there are many people in our shoes who would extremely enjoy a tool that found us appealing meals with our specified nutritional needs.
Get Started
Create an account and sign in with our authentication system.
Next, select the nutritional groups you are looking for from our selection of protein, carbohydrates, fiber, and calories.
Then, select a location on Google Maps to search for nearby restaurants.
Now, enjoy a ranked list of restaurants and dishes that fulfil and prioritize your needs.
Frameworks and Technologies
Backend: Python Flask
Frontend: React with Typescript
User Authentication: Firebase
Database: PostgreSQL
Packaging and Deployment: Docker, Amazon Web Services
Restaurant Locations: Google Places API
Accomplishments that we're proud of
We are very proud to display our aesthetic front-end and responsive Flask API and endpoints.
What we learned
We learned a lot about user authentication, packaging and deployment, and working with databases.\n \n
What's next for I Want _
This project still has a lot of room to grow.
We need to figure out alternative solutions for hosting.
We also want to implement a user history feature that stores the dishes and restaurants that each user has visited on our app.
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