Spam Classifier

A simple machine learning web app that classifies SMS messages as Spam or Ham using Logistic Regression & TF-IDF. Built with Python, Flask, and Scikit-Learn.

---

📓 Google Colab Notebook

This repository contains a Google Colab notebook that you can open and run directly in your browser.

---

🌐 Live Demo

🚀 Hosted at: spam-classifier You can access and interact with the spam clssifier modules directly through the hosted web interface.

---

Features

• Text preprocessing & TF-IDF vectorization
• Logistic Regression for classification
• Flask web app for user interaction

---

Project Structure

sms-spam-classifier
│── static/
│── templates/
│── SMSSpamCollection │── spam_model.pkl
│── tfidf_vectorizer.pkl │── train_model.py
│── app.py

---

1️⃣ Clone the Repository

git clone https://github.com/OmarDawoud4/Logistic.git
cd Logistic

Train The Model

python train_model.py
python train_spam_models.py

Run the Flask App

python app.py

The app will start running at local host

---

👨‍💻 Contributors

Omar Dawood ML Developer

AbdAlRahman Hesham Backend Developer

Ahmed Sanad Backend Developer

Abdallah Frontend Developer

Ahmad Asal

Ali Abd Al Rehem Backend Developer

Omar Wagih Frontend Developer