MESI - Mess Entry System with Intelligence

Overview

MESI (Mess Entry System with Intelligence) is an AI-powered mess entry monitoring system designed to streamline and automate mess entry tracking. This repository contains the frontend for the MESI system, providing a real-time dashboard with data visualization.

Features

• Real-time Mess Entry Dashboard: Live tracking of mess entries with an intuitive UI.
• Responsive Design: Built with Tailwind CSS for seamless experience across all devices.
• Backend API Integration: Communicates with the backend for real-time data processing.
• Containerized Deployment: Easily deployable using Docker.

Tech Stack

• React: JavaScript library for building the user interface.
• Tailwind CSS: Utility-first CSS framework for styling.
• Docker: Containerization for easy deployment and scalability.

Setup Instructions

Follow these steps to set up and run the MESI frontend locally:

1. Clone the repository:

   git clone <repository_url>

2. Navigate to the frontend folder:

   cd mesi-frontend

3. Install dependencies:

   npm install

4. Start the development server:

   npm start

Docker Instructions

To containerize and deploy the MESI frontend using Docker:

1. Build the Docker image:

   docker build -t mesi-frontend .

2. Run the container:

   docker run -p 80:80 mesi-frontend

Contribution

We welcome contributions! Feel free to open issues, submit pull requests, or suggest enhancements.