The Password Strength Meter is a Python-based application that evaluates the security of a password based on predefined strength criteria. It provides real-time feedback and suggestions to help users create strong passwords. This application is built using Streamlit, offering a modern and interactive user interface.

• ✅ Strength Assessment: Evaluates password length, character diversity, and complexity.
• ✅ Real-Time Feedback: Provides instant suggestions for improvement.
• ✅ Common Weak Password Detection: Identifies commonly used weak passwords.
• ✅ Repeated Character Check: Warns against excessive character repetition.
• ✅ Dark Mode Support: Allows users to switch to dark mode for a better visual experience.
• ✅ Progress Bar Visualization: Displays password strength using a progress bar.
• ✅ Strong Password Generator: Generates secure random passwords for better security.

Ensure you have Python 3.x installed on your system. You can check your Python version with:

python --version

Use the following command to install the required dependencies:

pip install streamlit

To launch the Password Strength Meter, execute:

streamlit run password_strength_meter.py

1. Enter a password in the input field.
2. Click "Check Password Strength" to analyze your password.
3. The application will display:
   • A strength rating (Weak, Moderate, or Strong).
   • A progress bar indicating password strength.
   • Suggestions for improvement if necessary.
4. If the password is weak, a random strong password suggestion will be provided.

❌ Password must be at least 8 characters long.  
❌ Include both uppercase and lowercase letters.  
❌ Add at least one number (0-9).  
❌ Include at least one special character (!@#$%^&*).  

✅ Great! Your password is strong.

• 🔹 Password Reveal Toggle: Option to view/hide the entered password.
• 🔹 Copy to Clipboard: One-click copy for generated passwords.
• 🔹 Customizable Password Strength Rules: User-defined security settings.
• 🔹 Integration with Security APIs: Check if a password has been compromised in data breaches.

Contributions are welcome! Feel free to fork this repository and submit a pull request with any improvements.

This project is licensed under the MIT License.

Developed by Muhammad Adnan 🚀