Web Based Application E Commerce System With Object Recognition Using Neural Network AI

Overview

The web-based e-commerce application featuring object recognition powered by neural networks is a remarkable integration of modern technology and user-centric design. Developed using a robust stack including Python, Django, JavaScript, and MySQL, this system aims to enhance the online shopping experience by allowing users to search for products using either text or images. The dual functionality caters not only to buyers but also to sellers, who have the option to manage their inventory directly through an intuitive dashboard.

The application stands out for its seamless user experience, enabling registration, login, product management, and more. The innovative inclusion of image recognition technology positions it ahead of traditional e-commerce platforms, making it an exciting project for both developers and users alike.

Features

• User Registration and Login: Users can easily create accounts and log in to personalize their shopping experience.

• Product Search: Offers a flexible search bar that allows users to find products quickly by typing or uploading an image.

• Seller Dashboard: Sellers have full control over their products, including adding, editing, and deleting listings with ease.

• User Profile Management: Users can manage their accounts, view their purchase history, and maintain their shipping addresses directly from their profiles.

• Wishlist Functionality: Users can save their favorite products for future purchases, enhancing their shopping experience.

• Shopping Cart Integration: The system supports a straightforward shopping cart allowing users to manage their selected items before checkout.

• Secure Payment Options: Includes a payment portal that features QR code scanning for quick and secure transactions.

• Order Invoicing: Provides users with detailed invoices, including a unique QR code for convenience and record-keeping.