##🛡️ SecureMail Analyzer - Spam Email Detector

SecureMail Analyzer is a real-time email content analysis tool that detects spam emails using a Machine Learning (ML) model trained on labeled email datasets. The system analyzes message content and predicts whether an email is SPAM or HAM (legitimate).

Built with Python (Scikit-learn, Flask) for the backend and HTML, Tailwind CSS, and JavaScript for the frontend, this project demonstrates both ML implementation and web integration in a simple, educational, and visually interactive way.

#🚀 Features

Machine Learning-Based Detection: Uses trained ML algorithms to classify email content as SPAM or HAM. High Accuracy: Achieved an accuracy of 96% on the test dataset using a Multinomial Naive Bayes model. Real-Time Prediction: Instantly analyzes pasted email content and displays classification results. Dynamic Result Visualization: Displays predictions with color-coded alerts, confidence scores, and icons. Responsive UI: Built with Tailwind CSS for smooth animations and mobile-friendly layout. Customizable Model: Supports retraining with new data for improved accuracy.

#🧠 Machine Learning Model

Algorithm Used: Multinomial Naive Bayes Libraries: Scikit-learn, Pandas, NumPy, Joblib Dataset: emails.csv (contains labeled email text for spam/ham classification) Accuracy: ~96% on test data Training File: train_model.py Prediction File: predict.py

#Model Workflow

Data Preprocessing: Cleaned and tokenized email text. Feature Extraction: Used TF-IDF vectorization for text representation. Model Training: Trained a Multinomial Naive Bayes classifier. Model Saving: Saved the trained model using Joblib for deployment. Real-Time Prediction: Integrated with Flask to predict user input in real time.

#💻 Tech Stack Frontend: HTML, Tailwind CSS, JavaScript Backend: Python (Flask) Machine Learning: Scikit-learn, Pandas, NumPy Icons: Lucide Icons Model Storage: Joblib

##🧩 Project Structure Spam_Email_Detector/ │ ├── app/ │ ├── app.py
│ ├── predict.py
│ ├── train_model.py
│ └── init.py │ ├── data/ │ └── emails.csv
│ ├── models/ │ └── email_model.joblib
│ ├── template/ │ └── index.html
│ ├── requirements.txt ├── README.md └── .gitignore

#⚙️ How to Run Clone the repository: git clone https://github.com/Shikha18Shukla/Spam_email_detector.git cd Spam_email_detector

#📊 Example Predictions Email Example Prediction Confidence "Congratulations! You’ve won a $1000 gift card!" SPAM 98% "Reminder: Your meeting is scheduled for tomorrow at 10am." HAM 94% "Buy cheap meds online, limited-time offer!" SPAM 97%

Author: Shikha Shukla GitHub: Shikha18Shukla

##Frontend : 7_1a5fd76b](https://github.com/user-attachments/assets/2264a5e8-9d03-45cf-9b9a-9a6fd6bbcfbc)