MailGuard

This repository contains the front-end application for classifying emails as spam or not using a machine learning model. The application is built using Node.js, React.js, and CSS, providing a user-friendly interface to interact with the email classification API. You can explore the website yourself here.

Features

Email Classification: Users can input an email message and determine whether it is classified as spam or not.
Simple UI: Clean and responsive user interface designed with React.js and CSS.
API Integration: Connects to a Flask-based backend API that hosts the machine learning model.

Technologies Used

React.js: For building the user interface.
Node.js: For managing the development environment.
CSS: For styling the application.

Getting Started

Prerequisites

Node.js: Ensure you have Node.js installed on your machine. You can download it from Node.js official website.

Installation

Clone the Repository:

git clone https://github.com/BilalM04/mail-guard.git
cd mail-guard

Install Dependencies:
```
npm install
```
Run the Application:
```
npm start
```
The application will be accessible at http://localhost:3000.

Backend

This project relies on a separate backend repository that contains the Flask API and the machine learning model for email classification. You can find the backend repository here: Email Spam Classifier.