📩 SMS Spam Predictor

A machine learning-based web application that classifies SMS messages as Spam or Ham (Not Spam) using NLP and classification algorithms.

The dataset is a highly imbalanced one with the percentage of HAM(non-spam)messages being 85%.

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🚀 Features

• ✅ Predicts whether a given message is spam or not
• ✅ Clean and intuitive UI
• ✅ Trained on the popular SMS Spam Collection Dataset
• ✅ Visualization of word frequencies and message length distributions

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🧠 Model Used

• Algorithm: Naive Bayes / Support Vector Machine (choose whichever you used)
• Libraries: scikit-learn, pandas, numpy, matplotlib, seaborn
• Vectorization: CountVectorizer / TF-IDF

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📊 Exploratory Data Analysis

• Spam messages tend to be longer and include promotional words.
• Word clouds and bar plots were used to identify top keywords in spam vs ham.

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🧪 How to Run Locally

1. Clone the repo

   git clone https://github.com/deBurglar/SMS-Spam-Predictor.git
   cd SMS-Spam-Predictor