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SMS Bombing Spam Classifier for SMS Bombing Protection

Overview

A prototype solution to get protection from SMS Bombing. It is a simple Machine learning and NLP based Web Application which classify the given messages as Spam or Ham(Not Spam) built using Flask

Technical Aspect

This Project is mainly divided into two parts:

  1. Exploring the dataset, Preprocessing texts and traning the model using Sklearn.
  2. Building a flask web app.

About the repository Structure :

  • Project consist app.py script which is used to run the application and is engine of this app. contians API that gets input from the user and computes a predicted value based on the model.
  • prediction.py contains code to build and train a Machine learning model.
  • templates folder contains two files main.html and result.html which describe the structure of the app and the way this web application behaves. These files are connected with Python via Flask framework.
  • static folder contains file style.css which adds some styling and enhance the look of the application.

Installation

The Code is written in Python 3.8. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt 

Run

To Run the Application

python app.py

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