Spam Detector AI 🤖

A web application that uses a Naive Bayes machine learning model to classify text as either "Spam" or "Ham" (not spam).

✨ Features

• Real-time Analysis: Paste any text (email, SMS, etc.) and get an instant prediction.
• Confidence Score: See the model's confidence in its prediction.
• Clean UI: Simple and intuitive interface built with Flask and Tailwind CSS.
• Preprocessing: Includes text cleaning steps like lowercasing, removing stopwords, and lemmatization for better accuracy.

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🛠️ Technologies Used

• Backend: Python, Flask
• Machine Learning: Scikit-learn, Pandas, NLTK
• Frontend: HTML, Tailwind CSS, JavaScript

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🚀 How to Run Locally

1. Clone the repository:

   git clone https://github.com/prabanjan-ux/spam-detector.git
   cd spam-detector

2. Create and activate a virtual environment:

   # For Windows
   python -m venv venv
   venv\Scripts\activate
   
   # For macOS/Linux
   python3 -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the Flask application:

   flask run

5. Open your browser and go to http://127.0.0.1:5000

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