📧 Spam Mail Detector — Machine Learning Project
🚀 A smart and lightweight ML-based system to detect SPAM messages instantly.
This project is a Spam Mail Classification System built using Machine Learning (Logistic Regression) and TF-IDF text vectorization. It classifies any input message into:
✔ HAM (Not Spam) ❌ SPAM
Includes a beautiful Tkinter desktop GUI, making it easy for anyone to use — no ML knowledge needed!
🖥️ GUI Preview
(Add a screenshot here after running your GUI)
📸 drag & drop your screenshot here in GitHub after upload
✨ Features
⚡ Real-time Spam Detection
🧠 TF-IDF + Logistic Regression Model
📊 95%+ Accuracy
🖥 Simple, Clean Tkinter GUI
📝 Console version included
🔧 Fully offline — No internet required
🚀 Great for Projects, Portfolios & College Submissions
⛓️ Tech Stack Component Technology Programming Language Python Machine Learning Logistic Regression Text Processing TF-IDF Vectorizer GUI Tkinter Libraries sklearn, pandas, numpy 📊 Model Performance Metric Score Training Accuracy ⭐ ~97% Testing Accuracy ⭐ ~95%
Accuracy may vary depending on your dataset, but this setup is already highly optimized.