Grocery Store Price Tracker

Overview

This Grocery Store Price Tracker offers a streamlined way to manage grocery lists, user authentication, and navigation. Built with the MERN stack, it leverages MongoDB, Express.js, React, and Node.js, offering a full-stack solution for grocery shopping efficiency.

Features

• User Authentication: Secure login and registration system for user management.
• Grocery List Management: Users can add, remove, and update items on their grocery lists.
• Dynamic Pricing Information: Fetches and displays current prices for grocery items from various stores.
• Interactive UI: React-based frontend for an intuitive and responsive user experience.
• Serverless Backend: Utilizes AWS Lambda and API Gateway for scalable, cost-efficient backend operations.
• Data Storage and Retrieval: MongoDB Atlas is used for robust data management, ensuring reliability and efficiency.

Tech Stack

• Frontend: React
• Backend: Node.js, Express.js
• Database: MongoDB Atlas
• Serverless: AWS Lambda, AWS API Gateway
• Other Tools: npm for package management

Project Structure

• backend.py: Contains serverless backend logic using AWS Lambda for handling CRUD operations and API requests.
• fetch.py: Script for fetching grocery item prices from various sources and updating the database.
• index.html, style.css, index.js: Frontend files for the application's landing page and styling.
• App.js, home.js, login.js, groceryListTable.js: React components for the application's core functionalities.
• index.js (root level): Entry point for React frontend, setting up the React DOM and routing.

Getting Started

1. Clone the repository:

   git clone https://github.com/jho1211/bcs-hacks-2024.git
   

2. Install dependencies: Navigate to the project directory and run:

   npm install
   

3. Set up environment variables: Configure environment variables for MongoDB Atlas, AWS Lambda, and AWS API Gateway according to your setup.

4. Start the application:

   • For the frontend, run:

     npm start
     

   • For the backend, deploy the Python scripts to AWS Lambda and configure the API Gateway.

5. Access the application: Open localhost:3000 in your browser to access the application.

Contributing

Contributions are welcome! Please fork the repository and submit pull requests with any enhancements or bug fixes.

License