Food Ordering android app
Nustana-Android is a mobile application based around my second semester project “NUSTANA” . The previous was a desktop Java application,
using backendless (BaaS), while this project is an android application using firebase. The application is basically a Food Ordering App,
with a robust design to handle and manipulate large user data. The entire project has been developed by me alone and can serve as a good
learning resource or a productive working app service for a restaurant with a few tweaks. It demonstrates the use of fragments,
user preferences , offline working ,offline storage and data restrictions.
Email verfication
Remember Me feature
Password Recovery
Data recovery
Order Tracking
User Order History
Shop Order History
Intermediate Shopping Cart History
Custom Order Size
Firebase docs can be accessed from here (https://firebase.google.com/docs/)
If you are not concerned with the code and just want to check out the app you can install it from the following link:
(https://drive.google.com/open?id=1Q10MVFvDLbfFSph-B09xSB2dwx6DHa_s)
The app is completely free from any malicious software and is completely harmless to any of the user data.
However, if you desire to use the code, or develop something new onto it you can clone this repository to you android project and configure
with with your firebase project.
To configure it with a firebase project either:
Use the android studio build-in plugin to do the job.
OR
Create a new firebase project and retrieve the google-services.json file
Afterwards follow the instruction here to set up the app with libraries of your choice depending on the service you intent to seek:
(https://firebase.google.com/docs/android/setup)
I would be happy to recieve any recommendation and would accept any critisim regarding the app. It is my first major app, and is prone
to random crash which might have skipped my eye during the testing. I would also be happy to recieve any contribution to this
project. Also do inform me of any issue you may find.
The app has been filled with dummy data to demostrate its functionality, the data is in no case authentic and the app is not backed by any real
restaurant, To eat from a real restaurant, download a real app.