Building Edu Programing Courses Mobile App using Flet Framework

Team Dev

• Nguyễn Phương Anh Tú (Leader) | Admin | 0767449819
• Đinh Thành Đức (Co-op)
• Lê Quốc Thắng (Co-op)

Struture of Project

app/
---api/
---constant/
---data/
---hook/
---schema/
---screens/
---services/
---style/
---test/
---util/
---__init__.py
assets/
back-end-server-django-model-ai/
doc/
main.py
test.py
README.md
README.pdf

1. app/: This is the main directory for the application code.

   • api/: Contains the API-related code, such as endpoints and views.
   • constant/: Stores constant values used across the application.
   • data/: Contains data-related files, possibly including data models or static data.
   • hook/: Includes custom hooks if using a framework that supports hooks.
   • schema/: Stores schema definitions, likely for database models or API request/response schemas.
   • screens/: Contains screen components, typically used in front-end frameworks like React Native or Flutter.
   • services/: Holds service-related code, such as API calls, business logic, or external service integrations.
   • style/: Includes styling-related files.
   • test/: Contains test cases for the application.
   • util/: Stores utility functions or helper modules.
   • init.py: A Python file to mark this directory as a package.

2. assets/: Stores static assets such as images, fonts, or other media files.

3. back-end-server-django-model-ai/: Contains the back-end server code, likely a Django application with some AI model integration.

4. doc/: Includes documentation files for the project.

5. main.py: The main entry point of the application.

6. test.py: A script for running tests.

7. README.md: A markdown file containing the project description, setup instructions, and other relevant information.

8. README.pdf: A PDF version of the README file, potentially containing the same information as README.md.

I. Overall this applications

• UI: using Flet Framework to build Mobile App (build Flutter App) - language Python
• Back End: using Django Framework to build Server Side API and apply model AI sentiment - language Python
• Database: using PostgreSQL to store data, register FREE on render: https://render.com/
• Hosting: using Render to deploy Django API and PostgreSQL Database: https://render.com/
• Model AI Sentiment intergrated in Back End: using underthesea library to build model AI Sentiment - language Python: https://github.com/undertheseanlp/underthesea

II. Demo Production