E-Commerce Price Comparison Platform

Overview

This project is a robust e-commerce platform built using the MERN stack (MongoDB, Express.js, React.js, Node.js). The platform integrates with multiple external APIs, including Amazon, Walmart, and 30+ online stores, to provide real-time product comparison. Users can search for products and receive price comparisons across various retailers. Additionally, the platform incorporates AI-generated product descriptions and a chatbot for personalized product recommendations using OpenAI's GPT-4 API.

Features

• User Authentication: Secure user registration, login, and profile management using JWT (JSON Web Tokens).
• Product Search and Comparison: Real-time product search and price comparison across multiple online stores.
• AI Integration:
  • Dynamic product descriptions generated using OpenAI's GPT-4 API.
  • Chatbot for personalized product recommendations based on user queries.
• Shopping Cart and Checkout: Add products to the cart and simulate a checkout process.
• Admin Panel: Manage product listings, users, and orders.
• Performance Testing: User load tests conducted using Apache JMeter to simulate high traffic scenarios.

Technologies Used

• Frontend:
  • React.js: Building the user interface and handling client-side logic.
  • HTML/CSS: Structuring and styling the UI.
• Backend:
  • Node.js & Express.js: Building RESTful APIs and handling server-side logic.
  • MongoDB: Storing user data, product information, and order details.
  • OpenAI API: For generating product descriptions and providing a chatbot.
• Testing:
  • Apache JMeter: Simulating user load and testing system performance.
  • Jest: Unit and integration testing for backend APIs.

JavaScript Files Overview

Frontend (React.js)

• src/App.js: The main entry point for the React application, handling routing between different pages.
• src/components/Navbar.js: Contains the navigation bar component displayed at the top of each page.
• src/components/SearchBar.js: Handles user input for searching products and triggers the API call to fetch product data.
• src/components/ProductList.js: Displays the list of products returned from the search query. It processes and renders the first 3 product results on the page.
• src/pages/CompareProducts.js: The main page where users can search for products and compare prices across different stores.
• src/pages/ProductDetails.js: Displays detailed information about a selected product, including offers from different stores.
• src/components/Chatbot.js: Integrates the OpenAI chatbot for personalized product recommendations.

Backend (Node.js/Express.js)

• index.js: The entry point for the Node.js server, responsible for starting the server and handling routes.
• routes/api/products.js: Defines the API endpoints for searching and comparing products.
• controllers/productsController.js: Contains the logic for fetching product data from external APIs and processing it.
• middleware/auth.js: Handles user authentication using JWT for secure API access.

Setup Instructions

Prerequisites

• Node.js and npm installed.
• MongoDB Atlas account for cloud database storage.
• RapidAPI account for accessing product data APIs.
• OpenAI API key for generating product descriptions and chatbot functionality.