> For the complete documentation index, see [llms.txt](https://bryan-nguyen.gitbook.io/bryan-nguyen/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bryan-nguyen.gitbook.io/bryan-nguyen/about-me/projects/aws-accelerator-programme.md).

# AWS Accelerator Programme

Exploring advanced Machine and Deep Learning on the AWS Cloud in a 110-hour program by SGCodeCampus, IMDA, and AWS at Dunman Secondary.

At the end of the programme, we created Our Seoul Digital – A Smart Ordering Web App for Seoul Garden

## Overview

Our Seoul Digital is a full-stack web solution built for a real-world business client: Seoul Garden. The app helps customers order food more easily and efficiently, streamlining the dining experience through smart recommendations and a dynamic menu interface. This project was developed as part of a data science initiative to solve real-world business challenges.

## What I Used

- Frontend: TypeScript, React\
- Backend: Python (FastAPI)\
- Database: AWS DynamoDB\
- Platform: Web (Responsive Design)

## My Role & Contributions

I helped develop both the frontend interface using TypeScript and the backend logic in Python. I also worked on integrating DynamoDB to store and retrieve real-time pricing and menu data based on user interactions.

* Intuitive web interface for placing orders
* Real-time price display using DynamoDB
* Smart menu navigation for quick decisions
* Responsive design for mobile and desktop users
* Built-in backend logic for dynamic recommendations

{% embed url="<https://youtu.be/iOzdBPGXcEQ>" fullWidth="true" %}

## What I Learned

This project helped me understand how to apply data science and software engineering skills to real client needs. I gained hands-on experience with full-stack development, database integration, and user experience design for business applications.

{% @github-files/github-code-block url="<https://github.com/BryanNguyenNgo/OurSeoulDigital>" %}