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An Ecommerce Store where a user can view products, search products and also filter products via category, min price and max price

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iBStore

A simple fashion & clothing e-commerce application utilizing a public api - with a JavaScript & HTML/ Tailwind CSS frontend.

By EDWIN MWANIKI

Description

An E-Commerce Application built using JavaScript/ HTML/ Tailwind CSS. It implements GET operations on JSON Server - using the fetch METHODS - GET. Users can view product items, do search and filter using category and min-max price.

Screenshot

iBStore Screenshot

Features

  • Simple and clean UI design
  • All Components are on one page

How to Use

Requirements for use

  • A computer, tablet, or phone
  • Access to the internet
  • A modern web browser

View Live Site

Visit the deployed application at: iBStore - Ecommerce App

The live site allows you to:

  • View products items from ecommerce json api
  • Search products using any term
  • Filter products via Category and Max/Min Price

Local Development

If you want to run the project locally, you'll need:

  • Node.js installed on your computer
  • Terminal/Command Line (CLI)
  • Basics of using Terminal/ CLI
  • Code editor (VS Code recommended)

Installation Process

  1. Clone this repository using:

    git clone git@github.com:edwin3v3/ibstore.git

    or by downloading a ZIP file of the code.

  2. Navigate to the project directory:

    cd ibStore
  3. Install the required dependencies:

    npm install
  4. Open your browser and visit http://localhost:5501 or whichever Local live server Your Code Editor provides or your Local Setup has afforded you.

    Note: VS Code Editor does a good job of providing a Live Server

Technologies Used

  • Tailwind CSS
  • HTML
  • JavaScript (ES6)

Related Repositories

Backend API

Support and Contact Details

If you have any questions, suggestions, or need assistance, please contact:

License

MIT License

Copyright © 2025 EDWIN MWANIKI

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An Ecommerce Store where a user can view products, search products and also filter products via category, min price and max price

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