SMS Spam Detection System

A machine learning-based web application for detecting spam SMS messages using multiple classification models with ensemble predictions.

Features

• Multi-model ensemble: Naive Bayes, SVM, Random Forest, XGBoost
• Real-time spam/ham classification
• Responsive web interface

Installation

Follow these steps to set up the project on your local machine.

Prerequisites

• Python 3.8+
• pip

Steps

1. Clone the repository:

   git clone <repository-url>
   cd SMS-Spam-Detection-Project

2. Create and activate a virtual environment:

   python -m venv venv
   venv\Scripts\activate  # On Windows

3. Install dependencies:

   pip install -r requirements.txt

Usage

Train Models

cd backend
python train_models.py

Run the Application

cd backend
python app.py

Access the app at http://localhost:5000.

Project Structure

SMS-Spam-Detection-Project/
├── backend/       # Flask backend
├── frontend/      # Frontend files
├── models/        # Trained models
├── data/          # Dataset
├── requirements.txt
└── GUIDE.md

Have fun !!