Amazon Clone

Project Code :TCMAFS123

Objective

Create an extensive product catalog that encompasses various categories, ensuring customers can find products across diverse industries and niches. Prioritize user experience by designing an intuitive interface, optimizing page loading times, and ensuring mobile responsiveness.

Abstract

With the rapid advancement of technology and the widespread adoption of e-commerce platforms, online shopping has become an integral part of our daily lives. Among the many online retailers, Amazon has emerged as a dominant force, revolutionizing the way we shop. This abstract delves into the transformative impact of Amazon on the shopping experience, exploring key aspects such as convenience, product variety, personalized recommendations, and customer satisfaction.Firstly, Amazon has redefined convenience in shopping by offering a seamless and user-friendly platform accessible through various devices. With just a few clicks, customers can explore different types of products including(clothes ,electricals, mobiles ,cosmetics, home and kitchen utensils ) .Then customer can buy them by adding to cart and then make payment for their orders by scanning the QR Code or by formal manner. Secondly, Amazon's product variety is unparalleled, featuring millions of items across numerous categories. From everyday essentials to niche products, customers can find an extensive range of options, catering to diverse needs and preferences. This wide selection enables shoppers to easily find what they desire, fostering customer loyalty and minimizing the need to visit multiple physical stores.

KEYWORDS: E-Commerce, customers, admin, products, buying ,orders, payment , bookings

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W CONFIGURATION:

  • Processor - I3/Intel Processor
  • Hard Disk - 160GB
  • Key Board - Standard Windows Keyboard
  • Mouse - Two or Three Button Mouse
  • Monitor - SVGA
  • RAM - 8GB


S/W CONFIGURATION:

  • Operating System    :  Windows 7/8/10
  • Server Side Script     :  React JS
  • Programming Language:  Node Js
  • IDE/Workbench    : Visual Studio Code
  • Server Deployment   : MongoDb Server
  • Database                   : MongoDb SQL         


Demo Video

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