Spam Detection

A machine learning project for detecting spam messages (SMS/Email).
This repository contains:

• A Jupyter Notebook for training and evaluating the spam detection model.
• A Flask-based web application to interact with the trained model.

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Features

• Preprocesses SMS/email text data.
• Trains a machine learning classifier (e.g., Naive Bayes/Logistic Regression).
• Simple web interface for real-time spam classification.
• Pre-trained model included (model.pkl) for direct usage.

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Project Structure

---│ ├── app/ │ ├── app.py # Flask server script │ ├── model.pkl # Trained spam detection model │ ├── spam.csv # Dataset used for training/testing │ └── templates/ │ └── index.html # Web UI for input and results │ ├── spam detection.ipynb # Notebook for data analysis and training (PDF in repo)

Installation

1. Clone the repository

python app.py

git clone https://github.com/<your-username>/spam-detection.git
cd spam-detection/app