This project is a full stack web application for comparing prices of products from different stores. The frontend is built with React, and the backend uses Express and SQLite.

To get started with this project:

1. Clone this repository.
2. Install dependencies in both the root directories with npm install.
3. Make sure you have SQLite installed locally, or configure the connection in server/database.js to point to a SQLite instance.
4. In the root directory, start the server with npm start.
5. In the server directory, start the backend with node .\index.js

The project is organized into two main directories, server and src (frontend).

The server directory contains the Express backend server.

• models/product.js: This file defines the SQLite schema for products.
• uploads: This directory is where uploaded product images are stored.
• database.js: This file sets up the connection to the SQLite database.
• database.sqlite: This is the SQLite database file.
• index.js: This is the main server file that initializes Express and connects to the SQLite database.

The src directory contains the React frontend application.

• components/ProductForm.jsx: This is the form for adding a new product.
• components/ProductList.js: This is the component that displays a list of all products, grouped by store.
• components/ProductDetails.js: This is the component that displays the details of a product.
• assets: This directory contains CSS files for the application.
• App.js: This is the main component that renders the product form and list.
• index.js: This is the entry point for the React application.

• Add a product with a name, price, stores where it's available, and an optional image.
• View a list of all products, grouped by store.
• View product details with images, price and store availability.
• See an image preview when adding or updating a product.
• Automatic price conversion and formatting.
• Duplicate product detection based on product name.
• Comparisons between different products.

• User authentication and authorization.
• More detailed product information.
• Integration with real store data.

Contributions are welcome! Please open an issue or submit a pull request for any changes.