SHOEZI-E-commerce-Web-Application

SHOEZI is a fully functional e-commerce website ( based on the Shoes Collections ),

• Live link : https://www.shoezi.online/

• Built the website using a range of modern technologies, including:

  • Node.js and Express.js for the backend
  • MongoDB for the database
  • Handlebars.js, CSS, and Bootstrap 4 for the frontend
  • JavaScript ES6 for programming
  • Axios for handling HTTP requests
  • JQuery for DOM manipulation
  • DataTables, Toastify.js, Twilio, Cloudinary, Razorpay, integrations through npm libraries
  • Designed the website layout and user interface using Figma

Designed and developed a fully functional e-commerce website featuring multiple pages and functionality including,

USER SIDE :

• signup and login with validation
• login and forgot password with OTP
• profile management
• Address Management (CRUD)
• profile Picture change with image cropping
• Wallet
• Product single page with image zooming
• Category Managed with sub category, products can be listed as per the category.
• User can filter the items by the main category and sub category.
• Filters :
  • Integrated interconnected filters on the user side
  • price filter with a slider range
  • price Sorting ( High to Low && Low to High )
• Search ( search is done by the regular expression mongoDB )
  • search with name
  • search with category
• order View where we can cancel and return order. We can return order only after the order is delivered.
• wishlist
• Cart
• Stock Management with validation for OUT OF STOCK.
• Checkout
• Coupons can be used to get Discounts.

PAYMENT INTEGRATION

• Razorpay

ADMIN SIDE :

• Admin signin with Validation
• Chart and Graph Management
• Fully functional Dashboard
• Sales Report, In sales report we can download the report as per the the user need. we can download the report as pdf, excel, csv, and more..
• Total users, Total Outcome in a month, Total orders placed in the recent month in the Admin Dashboard.
• User Management (CRUD)
• Product Management (CRUD) ,Product images can be cropped before adding the product. ( cropper.js npm library used ).
• Stock Management
• Category Management with validation
• Order Management
• Banner Management

HOSTING

• Hosted the e-commerce website on an AWS instance using Nginx with PM2 to ensure optimal performance and reliability.