EliteBuy

Welcome to EliteBuy, an innovative e-commerce platform offering a personalized shopping experience. Our website provides a wide range of products across various categories, including Men, Women, and Electronics, with sub-categories like Clothing, Accessories, Mobiles, and Laptops. We use cutting-edge technology to enhance your shopping experience with personalized recommendations and efficient user interactions.

Features

User Features

• Interactive Home Page: Dynamic content including interactive navbars, carousels, and the latest products list.
• Personalized Recommendations:
  • Logged-out users see trending products based on sales history.
  • Logged-in users receive recommendations based on their order history using an SVD Algorithm.
• Advanced Search & Filters: Search for products and filter based on color, price, discounts, stock availability, etc.
• Product Details: Comprehensive product details including title, price, offers, description, highlights, ratings, and reviews.
• User Authentication: Secure sign-up and login features with session management.
• Cart Management: Add, update quantity, or remove products from the cart.
• Order Processing: Seamless checkout process with address management and payment via Razorpay.
• Order Tracking: Track order status and view order history.
• Product Reviews: Rate and review products after delivery.
• AI Chatbot: Get instant support from our AI-powered chatbot.

Admin Features

• Admin Panel: Access to exclusive admin functionalities.
• Dashboard: Visual insights with time series graphs, pie charts, and bar charts.
• User Management: View and manage user accounts.
• Product Management: Add, delete, and update products.
• Order Management: Update order statuses and manage orders efficiently.

Getting Started

Prerequisites

• Node.js: Ensure you have Node.js installed.
• Java: Make sure Java Development Kit (JDK) is installed.
• MySQL: Set up a MySQL database.

Installation

1. Clone the Repository

git clone <your-repo-url>
cd EliteBuy

2. Frontend Setup

cd frontend
npm install
npm start

The frontend will be running on http://localhost:3000.

3. Backend Setup

Navigate to src/main/resources

Add your own application.properties file with your database configuration.

Sample application.properties

spring.datasource.url=jdbc:mysql://localhost:3306/yourDatabaseName
spring.datasource.username=yourUsername
spring.datasource.password=yourPassword
spring.jpa.hibernate.ddl-auto=update
spring.jpa.show-sql=true

Start the backend by running the main Java file. The backend will be running on http://localhost:8080 (by default)

4. Personalized Recommendation Engine

Navigate to the recommendation engine script.

python PersonalizedRecommendation.py

Tech Stack

• Frontend: React.js
• Backend: Spring Boot
• Database: MySQL
• Machine Learning: SVD Algorithm for recommendations
• Payment Gateway: Razorpay

Access the site at http://localhost:3000.

Explore the dynamic product listings and enjoy personalized recommendations. Utilize the admin panel for managing users, products, and orders.

License

This project is licensed under the MIT License.