Machine Learning

Intelligent Password Strength Classification Using Machine Learning

The Intelligent Password Strength Classification Using Machine Learning system is a comprehensive machine learning solution that automatically classifies passwords into Weak, Medium, or Strong categories based on extracted features. This project is ideal for B.Tech, MCA, CSE, and engineering students as their final year project. It uses advanced algorithms like Random Forest and Logistic Regression to achieve 97.22% accuracy.

The system leverages five key features extracted from passwords: length, number of special characters, number of digits, number of uppercase letters, and number of lowercase letters. It provides interactive visualizations, feature importance analysis, model comparison, and real-time password strength assessment to help users create stronger passwords and organizations enforce better security policies.

• Multi-Class Password Classification
• Random Forest (97.22% Accuracy)
• Logistic Regression (92.17% Accuracy)
• 5 Feature Engineering
• Feature Importance Analysis
• Real-time Password Assessment
• Model Performance Comparison
• Interactive Visualizations
• 3-Fold Cross-Validation
• Flask Web Application