Apollo 11
Everyday, I ask myself, “what should I eat for lunch?”. I could eat the same thing I had yesterday, but eating the same kind of food is boring. Searching on google yields no useful results, and only serves to remind myself that I have had similar lunchtime crises in the past. If only there was an app to help me decide on what to eat every day. Also, why is there not a record of the various menus somewhere to help us decide what to eat?
We hope to help make informed choices on what to eat in NUS quick and easy by consolidating all the information into an easy to use app.
A platform for NUS Students to look for dishes in NUS stalls and getting recommendations for food in NUS.
Must have: 3/3
Should have: 2/3
Good to have: 1/3
Visitor here is a general term referring to both anonymous and registered users visiting the site
| Priority | As a... | I want to be able to... | So that I can... |
|---|---|---|---|
| 3/3 | Visitor | view the full menu,prices, halal-ness, opening hrs of food stall | know the food choices available to me |
| 3/3 | Visitor | know my current distance to nus food locations | make informed decisions |
| 3/3 | Visitor | generate random suggestions for food based on presets such as menu, prices, distance | have something help me decide what to eat |
| 3/3 | Visitor | see reviews and ratings on stalls and food items | make informed decisions |
| 3/3 | User | Login securely | Keep my account safe |
| 2/3 | Registered User | reset/change my username/password | have control over my account. |
| 2/3 | Registered user | post reviews and ratings on stalls and food items | provide feedback about the food |
| 2/3 | Registered user | generate random suggestions based on my eating history | have something help me decide what to eat efficiently |
| 2/3 | Administrator | filter and remove abusive comments | prevent abuse of the application |
| 1/3 | Registered user | contribute to the database of foodstalls | help keep information up to date for other fellow users |
| 1/3 | Administrator | Vet and approve contributions made by fellow users | to prevent abuse of database |
| 1/3 | Administrator | Receive notification to approve contributions | approve contributions ASAP |
| 1/3 | Visitor | find the shortest path to food location | find food quickly |
| 1/3 | Visitor | check the real time crowd level of a location | to make informed decisions |
Our web-application frontend is made up of these main components:
-
Landing page (Locations Listing page)
-
Stall Listing page
- clicking on the stall will bring up a floating preview card of the stall
- preview card shows stall information such as opening hours, price range, halal info etc.
- click again to enter menu listing page
- clicking on the stall will bring up a floating preview card of the stall
-
Menu Listing page - Landing page associated with the stall
- Display Ratings, comments and description of the stall
- Scroll down to view menu of the stall
-
A "I am feeling lucky page" - recommend the dish for the user. Users can:
- Swipe right/ Click on the right arrow to move to the next recommendation.
- Swipe left/ Click on the left arrow to move back to the previous recommendation.
- Double tap/click to confirm their choice.
-
Login/Signup page
-
User Dashboard
- Shows stall visit history
- Show comments and reviews made by user in timeline
Our web-application will have these features:
- Display the list of dishes in every food stalls in NUS.
- Give recommendations on what to eat every day.
- Give the distance from the user to the stall to the stall that serve the dish they are considering.
The program flow can also be found here.
We have designed the basic "skeleton" layout for the mobile version of our web-app. You can view the current progress pdf version or figma version
We aim to develop a mobile-friendly web app by adhering to progressive web application guidelines.
We decided to use ReactJS because ReactJS is lightweight, and flexible.
We decided to use Firebase Authentication as it is secure and easy to deploy.
We are intending to use ExpressJS/Firebase to act as an API endpoint, to handle queries to our database and handle algorithms for recommendations.
You can view the wiki which contains the Milestone 1 and Milestone 2 report here