AuctionSphere Web application

Project Code :TCMAPY1861

Objective

AuctionSphere is a web-based auction platform that offers a secure and transparent environment for buying and selling products. It features auction listings, bid management, real-time interactions, secure payments, and a reporting system to prevent fraud. The platform also includes an admin module for user management and moderation, ensuring fair transactions and promoting trust in the marketplace.

Abstract

This project develops AuctionSphere, a web-based auction platform designed to provide a seamless, transparent, and secure environment for users to buy and sell products. Built using Django, HTML, CSS, JavaScript, Tailwind CSS, and SQLite3, AuctionSphere offers a responsive design that ensures accessibility across various devices, including desktops, tablets, and smartphones. The platform features include auction listings, bid management, secure payment processing, real-time buyer-seller interactions, and a reporting system to prevent fraudulent activities. With a robust admin module for moderation and user management, AuctionSphere promotes trust, transparency, and fair transactions in the online marketplace.

Keywords: Online auction, transparency, real-time bidding, secure transactions, fraud prevention, responsive design, user interaction.

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:

β€’      Operating System                   :  Windows 10/11 (or Linux/MacOS)

β€’      Server-side Script                   :  HTML, CSS & JS

β€’      Programming Language         :  Python

β€’      Libraries                                  :  Django (v3.2+ or v4.0+)

β€’      IDE/Workbench                      :  VS Code

Technology                              :  Python 3.8+ with Django Framework

Demo Video