Kori Ditmeyer
01
NAME

Kori Ditmeyer

ROLE

Hydraulic & Computational Engineer |
International Consultant

EMAIL

kori [@] ditmeyer.com

PHONE

(+33) 6 28 57 24 28
(+81) 80 3705 3231

01

Amazon App (with + 170 K products)

An Amazon fully responsive clone with a separated frontend, backend and dabatabase. The website is live here with more than 170 000 products from Amazon:

Frontend

See more information in my github page: https://github.com/koriditmeyer/SPAapp

 

  • Frontend was build with Vite + React, using tailwind CSS for design, React Router v6.4 for routing, React Redux for persistence, React Query and Axios for fetching data.  
Home
Shopping Flow

Search area with corresponding results

Search results page along with categories associated and category filter

pagination

product description with gallery and product caracteristics, price, stock…

Cart with functionalities to modify quantity, delete product(s)

Checkout

Profile features

Profile page with different functionalities according to user role: Add product panel, admin panel…

Add product with drag and drop image area

Admin panel

User Panel

Other Features

Loading Skeleton and toast information

Unauthorized page automatic redirection

404 not found page

popup

Registration with email confirmation

login

Backend

See more information in my github page: https://github.com/koriditmeyer/ecommerceBackendMVC

  • Backend was build with Node JS, with a Model–view–controller (MVC) architecture implementing here: Routes, Controller, Services, Repositories, DAO and DTO. The backend use Express for endpoint management, Mongoose for Database connexion and Mongoose paginate V2 for pagination, Passport with JWT for user authentication, BCrypt for password hash, Multer for file handling, NodeMailer to send emails…
  • The backend endpoint Documentation was done using swagger 
  • The backend Testing was done using Mocha, Chai and Supertest. Artillery was also use to check load charge
  • The backend was containerized using Docker 

Database

  • The products, users, carts, categories… are stored in a MongoDB Atlass dabatase.