Renu-code123/Detecting-Spam-Emails-Using-Tensorflow-in-Python

In today's digital world, spam emails are everywhere — from fake offers to phishing attempts.
This project builds a Spam Email Detection System using TensorFlow and Python to automatically classify emails as:

• 📩 Ham (Not Spam)
• 🚫 Spam

The model learns patterns from email text data and predicts whether a message is spam with high efficiency.

• ✨ Intelligent classification of emails
• 🧹 Text preprocessing & cleaning pipeline
• 🧠 Deep learning model powered by TensorFlow
• ⚡ Fast and efficient predictions
• 📊 Easy-to-understand workflow
• 📁 Clean and modular code structure

• 🐍 Python
• 🔶 TensorFlow
• 🔢 NumPy
• 📊 Pandas
• 🤖 Scikit-learn
• 🧾 Natural Language Processing (NLP)

1. Data Collection

   • Email dataset containing spam and ham messages

2. Text Preprocessing

   • Lowercasing
   • Removing punctuation & stopwords
   • Tokenization

3. Feature Extraction

   • Converting text into numerical format (e.g., TF-IDF / Tokenizer)

4. Model Building

   • Neural Network using TensorFlow

5. Training

   • Model learns patterns in spam vs ham emails

6. Prediction

   • Classifies new emails as Spam or Ham

Spam-Email-Detection/
│
├── data/
│   ├── spam.csv              # Dataset
│
├── notebooks/
│   ├── EDA.ipynb            # Data analysis & visualization
│
├── src/
│   ├── preprocessing.py     # Text cleaning functions
│   ├── model.py             # TensorFlow model
│   ├── train.py             # Training script
│   ├── predict.py           # Prediction script
│
├── saved_model/
│   ├── model.h5             # Trained model
│
├── requirements.txt         # Dependencies
├── README.md                # Project documentation
└── main.py                  # Entry point