Passipy( Password Strength Analyzer,Generator,recommender )

• Password Strength Recognition using Machine Learning Classification Algorithms

  • Flask(Python web development framework) is used for displaying the results
  • Algorithms used are
    • Decision Trees
    • Logistic Regression
    • Naive Bayes (Bernoulli Distribution Model)
    • Random Forest
    • Neural Network (MLP Classifier)
  • TfidfVectorizer is used for text feature extraction for passwords

• A Random Password Generator where you can generate your customized passwords randomly with different constraints as uppercase, lowercase, length, numbers, special characters and copy the generated password.

• Password Manager which allows you to effectively store your passwords in a database and allows CRUD operation on stored password.

Output

1. Password strength Analysis view - Before Prediction

2. Password strength Analysis view - After Prediction

3. Password Recommendor Page View

4. Login Page view

5. SignUp Page View

6. Password Manager view