Đồ án tốt nghiệp - Building the pos application for Coffee Shop

MINISTRY OF EDUCATION &amp TRAINING
HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH QUALITY TRAINING


PROJECT

BUILDING THE POS APPLICATION
FOR COFFEE SHOP

Advisor: Ph.D Nguyễn Thiên Bảo
Students:
Lê Hồng Danh

Student ID: 17110108

Nguyễn Lê Nguyên Anh

Student ID: 17110094

Ngô Trí Đức

Student ID: 17110127

Class: 17110CLST1
Major: Information Technology

Ho Chi Minh City, June, 2022

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, June …, 2022

PROJECT ASSIGNMENT
Student name: Lê Hồng Danh

Student ID: 17110108

Student name: Nguyễn Lê Nguyên Anh

Student ID: 17110094

Student name: Ngô Trí Đức

Student ID: 17110127

Major: Information Technology
Advisor: Ph.D Nguyễn Thiên Bảo

Phone number:

Date of assignment:

Date of submission:

1. Project title: BUILDING THE POS APPLICATION FOR COFFEE SHOP
2. Initial materials provided by the advisor:
3. Content of the project: BUILDING THE POS APPLICATION FOR COFFEE SHOP

4. Final product: A application and a Web API has the management modules such like:
Table, Food/Drink, Order, Merge/Split table, Payment, Material, Statistics.
CHAIR OF THE PROGRAM
(Sign with full name)

ADVISOR
(Sign with full name)

Ph.D Nguyễn Thiên Bảo

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, June …, 2022

ADVISOR’S EVALUATION SHEET
Student name: Lê Hồng Danh

Student ID: 17110108

Student name: Nguyễn Lê Nguyên Anh

Student ID: 17110094

Student name: Ngô Trí Đức

Student ID: 17110127

Major: Information Technology
Project title: BUILDING THE POS APPLICATION FOR COFFEE SHOP
Advisor: Ph.D Nguyễn Thiên Bảo

EVALUATION
1. Content of the project:

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2. Strengths:

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...

...
+ d database using code first, deploy database on Google Computer Engine,
and then connect to backend.

-

Backend:
+ Built a backend with Controller-Service-Repository architecture.
+ d APIs need to use in project.
+ Deployed backend on Google Computer Engine to connect anytime.

-

Frontend:
+ Understood WPF.
+ Using WPF to build a POS application.
+ Completed main features for a POS application:

 Table (include merge/split).
 Order.
 Payment.
 Statistical.
-

Experience gained:
+ Deeply understand about the major of POS application.
+ Understand about how to build a real application.
+ Understand workflow from front-end to backend, from backend to database and
vice versa.
+ Build a details architecture, which can scalability.
+ Understand how MVVM and MVC work.

2. Advantage
-

System architecture is designed reasonably, so request/response between backend
and frontend is stable and fast.

-

Backend is deployed in Google Computer Engine under production service, it
helps the backend always in available state.
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-

The application has a management website, which can support users to manage
multiple stores/branches.

3. Disadvantage
-

Have not completed enough APIs according to the set goals.

-

POS Application has not completed, some incomplete features such as: statistics
with specific requirement, get favorite food, Zalo pay Sandbox, authorize user…

-

Some feature in frontend is not separate Business logic from UI, because we are
not use the state management for some features.

4. Future planning
-

In the next development strategy, we will make the app run without internet, can
sync all the data whenever the app has the internet. Besides that, we will use
services broker to handle data when the app not connected to the internet. Add
more features and improve UI for the app.

-

Expanding more stores/branches management.

-

Integrated warehouse management.

-

Manage online orders.

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REFERENCES
[1] Spring. Introduction Spring Boot. [online] Available at:
https://spring.io/projects
[2] Spring Boot Architecture. [online] Available at:
https://www.javatpoint.com/spring-boot-architecture
[3] Wikipedia. Docker (software). [online] Available at:
https://en.wikipedia.org/wiki/Docker_(software)
[4] Docker. Introduction Docker Engine. [online] Available at:
https://docs.docker.com/engine
[5] Google Cloud. Virtual machine instances. [online] Available at:
https://cloud.google.com/compute/docs/instances

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