📬 Email/SMS Spam Classifier 🕵️‍♀️

A lightweight, ML-powered web app to detect whether a message is 🚫 spam or ✅ legit. Built using Python, scikit-learn, and Streamlit — no NLTK, no fuss!

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🧠 Tech Stack

🖥️ Frontend:
• Streamlit (for the interactive web interface)
🧪 Backend & ML:
• Scikit-learn
• Pandas, NumPy
• Regex (for tokenization & preprocessing)
• TF-IDF vectorizer + Multinomial Naive Bayes model

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🚀 Features

✨ Minimal UI — enter any message to test
📊 Pre-trained ML model (no need to retrain)
🧼 Clean, regex-based preprocessing
📦 No NLTK or heavy dependencies
💻 One-click local deployment

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🗃️ Folder Structure

📁 email-spam-classifier/
├── app.py              # Streamlit app script
├── vectorizer.pkl      # Saved TF-IDF vectorizer
├── spam_model.pkl      # Trained Naive Bayes model
└── README.md           # You are here!

🛠️ How to Run Locally

1. ⬇️ Clone the repository:

git clone https://github.com/your-username/email-spam-classifier.git
cd email-spam-classifier

2. 📦 Install the dependencies:

   pip install -r requirements.txt
   
   
   

3. ▶️ Launch the Streamlit app:

   streamlit run app.py
   
   

🌐 The app will open in your browser at:

http://localhost:8501