Adding files

Adding files

Message.txt

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+        **Test**
+
+        Spam Email Texts:
+
+Congratulations! You've won a $1,000,000 prize. Claim it now!
+You've been pre-approved for a credit card. Apply now!
+Congratulations! You've won a luxury vacation for two. Click here to claim your prize!
+You've been selected as the winner of a $500 Amazon gift card. Claim it today!
+Free iPhone 11 giveaway for lucky winners like you. Enter now!
+You've won a free cruise to the Caribbean. Call now to claim your ticket.
+You're the lucky winner of a $1,000 shopping spree. Shop now!
+Your credit score can be improved instantly. Click here for a free credit boost!
+You've won a new car in our lottery! Claim your prize by clicking this link.
+Congratulations! You've been selected as our grand prize winner. Claim your cash reward now!
+
+
+        Non-Spam (Ham) Email Texts:
+
+Hi, it's John. Just wanted to check in and see how you're doing.
+Reminder: Your meeting is scheduled for 2 PM today in Conference Room B.
+Your order with Amazon has been shipped. Tracking details enclosed.
+Invitation to our company's annual holiday party. RSVP requested.
+Weekly newsletter: Stay updated on the latest industry news and trends.
+Thank you for your recent purchase at our online store. Enjoy your products!
+Weather update: Expect sunshine and clear skies this weekend.
+Notification: Your monthly utility bill is now available for viewing online.
+Congratulations on your work anniversary! Here's to many more years.
+Happy birthday! We hope you have a fantastic day celebrating.

README.md

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+# Spam Mail Classification /EN
+![Web page visual](image.png)
+
+## Description
+
+The **Spam Mail Classification** project is a web-based application that uses machine learning to classify emails as spam or ham. It features a Flask backend, a frontend created with HTML, CSS, and JavaScript, and a MySQL database for storing user data and email classifications.
+![alt text](image-1.png)
+### Features
+
+- **Email Classification**: Categorizes incoming emails as spam or ham.
+- **User Registration and Login**: Secure account creation and authentication.
+- **Real-Time Email Classification**: Classifies emails in real time.
+- **User Dashboard**: Users can view their email history and classifications.
+- **Machine Learning Model**: Employs a trained model to classify emails.
+- **Customization**: Users can configure spam filter settings.
+
+## Technologies Used
+
+- **Flask** (Python Web Framework): For the backend server.
+- **HTML, CSS, and JavaScript** (Frontend): For the user interface.
+- **MySQL** (Database): For storing user data and email classifications.
+- **Machine Learning Libraries** (e.g., Scikit-Learn): Used to build and deploy the email classification model.
+
+## Getting Started
+
+To use the Spam Mail Classification app, follow these steps:
+
+1. **Clone this Repository**: Get the project source code by cloning this repository to your local machine.
+
+2. **Set Up the Flask Backend and MySQL Database**:
+   - Refer to the documentation or instructions provided in the code for setting up the Flask backend and MySQL database.
+
+3. **Install Required Python Packages**:
+   - You'll need to install a few Python packages using pip. Open your terminal and run:
+
+   ```bash
+   pip install Flask
+   pip install nltk
+   pip install mysql-connector-python
+   ```
+
+5. **Create a MySQL Database and Table**:
+   - Set up the MySQL database and table by running the following SQL commands in your MySQL server:
+
+   ```sql
+   CREATE DATABASE smc;
+   ```
+
+    ```sql
+   USE smc;
+   ```
+
+   ```sql
+   CREATE TABLE users (
+       id INT AUTO_INCREMENT PRIMARY KEY,
+       full_name VARCHAR(255) NOT NULL,
+       username VARCHAR(255) UNIQUE NOT NULL,
+       email VARCHAR(255) UNIQUE NOT NULL,
+       phone VARCHAR(15) NOT NULL,
+       password VARCHAR(255) NOT NULL
+   );
+   ```
+
+6. **Run the Flask App**:
+   - Start the Flask app by running the following command in your terminal:
+
+   ```bash
+   python app.py
+   ```
+
+   - Goto browser to open this website in Localhost:
+
+   ```bash
+   http://127.0.0.1:5000/
+   ```
+The HTML template is taken from https://html.design/ .
+

app.py

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+from flask import Flask, render_template,request,redirect,url_for,session,flash
+import pickle
+import string
+import nltk
+from nltk.stem import PorterStemmer
+import mysql.connector 
+
+app = Flask(__name__)
+app.secret_key = '1c8073775dbc85a92ce20ebd44fd6a4fd832078f59ef16ec'
+ps = PorterStemmer()
+with open('vectorizer.pkl', 'rb') as file:
+    tfidf = pickle.load(file)
+with open('model.pkl', 'rb') as file:
+    model = pickle.load(file)
+
+nltk.download('punkt')
+
+def transform_text(text):
+    text = text.lower()
+    text = nltk.word_tokenize(text)
+
+    y = []
+    for i in text:
+        # Check if the word is alphanumeric
+        if i.isalnum():
+            y.append(i)
+
+    text = y[:]
+    y.clear()  #The list y is cleared to free up memory
+
+    for i in text:
+        y.append(ps.stem(i))  #Stemming Each Word:(արմատը)
+
+    return " ".join(y)   #join the processed words back into a single string separated by spaces
+
+#Defining database connction
+db = mysql.connector.connect(
+    host = "localhost",
+    user = "root",
+    password = "ասդֆ",
+    database = "smc"
+)
+
+@app.route('/')
+def home():
+    return render_template('home.html')
+
+@app.route('/about')
+def about():
+    return render_template('about.html')
+
+@app.route('/index')
+def index():
+    if 'user' in session:    # Check if the 'user' session variable exists (i.e., the user is logged in)
+        return render_template('index.html')  
+    else:
+        return redirect(url_for('signin'))   # Redirect to the sign-in page if the user is not logged in
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    input_email = request.form.get('message')
+    transformed_email =transform_text(input_email)
+    vector_input = tfidf.transform([transformed_email])
+    result = model.predict(vector_input)[0]
+    if result == 0:
+        prediction = 'Spam'
+    else:
+        prediction = 'Ham/not spam'
+    return render_template('result.html',prediction=prediction)
+
+@app.route('/signin')
+def signin():
+    if 'user' in session:
+        return redirect(url_for('index'))
+    return render_template('signin.html')
+
+@app.route('/signup', methods=['GET'])
+def register():
+    if request.method == 'POST':
+        full_name = request.form['full_name']   
+        username = request.form['username']
+        email = request.form['email']
+        phone = request.form['phone']
+        password = request.form['password']
+
+        # Ensure the password and confirm_password match
+        confirm_password = request.form['confirm_password']
+        if password != confirm_password:
+            return "Password and confirm_password don't match."
+
+        # Insert data into MySQL
+        cur = db.cursor()
+        cur.execute("INSERT INTO users  (full_name, username, emsil, phone, password) VALUES (%s, %s, %s, %s, %s)",
+                    (full_name, username, email, phone, password))   
+        db.commit()
+        cur.close()
+
+        flash('Registration successful','success')
+        return redirect('/signin')
+
+    return "Invalid request method"
+
+@app.route('/login', methods=['POST'])
+def login():
+    if request.method == 'POST':
+        email = request.form['email']
+        password = request.form['password']
+        remember_me = request.form.get('remember_me')
+
+        # Query the database to check if the email and password match
+        cur = db.cursor()
+        cur.execute("SELECT * FROM users WHERE email = %s AND password = %s", (email,password))
+        user = cur.fetchone()  #If a user with the given email and password is found,  user will contain that user's data.
+        cur.close()
+
+        if user:
+            session['user'] = user
+
+            if remember_me:
+                session.permanent = True
+            return redirect(url_for('index'))
+        else:
+            return "Login failed.Check your email and password."
+    return "Invalid request method"
+
+@app.route('/logout')
+def logout():
+    session.pop('user',None)
+    return redirect(url_for('home'))  # Redirect to the sign-in page after logging out
+
+if __name__ == '__main__':
+    app.run(debug=True)