Dublin Core
Title
Fits ‘n Finds
Abstract
This project presents "Fits 'n Finds," a web-based marketplace designed for the secure and transparent buying and selling of new and used clothing. The application addresses the need for a reliable platform that protects users from fraudulent pricing and ensures fair transactions.
The system is implemented using a standard web stack, with a PHP backend and a MySQL database. Frontend functionality is handled with HTML, CSS, and JavaScript. Key features include robust user authentication with email verification, secure payment processing via the Stripe API, and scalable image storage using Google Cloud Storage (GCS). A unique scam detection mechanism is integrated into the item posting process, which analyzes an item's attributes to suggest a fair market price, thereby safeguarding both buyers and sellers.
The results of the implementation demonstrate a fully functional e-commerce platform that successfully manages user accounts, item listings, and a secure checkout process.
In conclusion, "Fits 'n Finds" provides a dependable and user-friendly solution for the online apparel market. The project's success is attributed to its focus on security and transparency, creating a trustworthy environment for its users.
The system is implemented using a standard web stack, with a PHP backend and a MySQL database. Frontend functionality is handled with HTML, CSS, and JavaScript. Key features include robust user authentication with email verification, secure payment processing via the Stripe API, and scalable image storage using Google Cloud Storage (GCS). A unique scam detection mechanism is integrated into the item posting process, which analyzes an item's attributes to suggest a fair market price, thereby safeguarding both buyers and sellers.
The results of the implementation demonstrate a fully functional e-commerce platform that successfully manages user accounts, item listings, and a secure checkout process.
In conclusion, "Fits 'n Finds" provides a dependable and user-friendly solution for the online apparel market. The project's success is attributed to its focus on security and transparency, creating a trustworthy environment for its users.
Keywords
E-commerce, Marketplace, Web Application, PHP, Security, Scam Detection