PassSentinel is a password strength analysis web application that evaluates the strength of passwords using a pre-trained machine learning model. It provides real-time feedback to users about their passwords, helping them enhance their security practices.

PassSentinel is a project aimed at promoting password security and awareness. It utilizes a powerful pre-trained machine learning model to analyze the strength of passwords based on a vast dataset of labeled passwords. The web application provides users with insights into the complexity and security of their passwords, empowering them to make informed decisions to protect their online accounts.

• Password strength analysis based on machine learning
• Real-time feedback on password security
• User-friendly and intuitive interface
• Secure data handling using industry-standard practices
• Responsive design for seamless experience on all devices

To run PassSentinel locally, follow these steps:

1. Clone the repository: git clone https://github.com/your-username/PassSentinel.github.io
2. Navigate to the project directory: cd PassSentinel
3. Start the local development server: python3 Backend.py
4. Open your web browser and visit http://localhost:5000

• Front-end: HTML, CSS, JavaScript, React.js
• Back-end: Flask
• Machine Learning: TensorFlow