https://github.com/omkarpathak/password-strength-evaluator-using-machine-learning

My TE Seminar mini project
https://github.com/omkarpathak/password-strength-evaluator-using-machine-learning

flask machine-learning python3 svm svm-classifier svm-training

Last synced: about 2 months ago
JSON representation

My TE Seminar mini project

• Host: GitHub
• URL: https://github.com/omkarpathak/password-strength-evaluator-using-machine-learning
• Owner: OmkarPathak
• License: gpl-3.0
• Created: 2017-05-27T08:07:21.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-13T04:02:32.000Z (over 8 years ago)
• Last Synced: 2025-04-19T21:17:59.896Z (8 months ago)
• Topics: flask, machine-learning, python3, svm, svm-classifier, svm-training
• Language: HTML
• Size: 964 KB
• Stars: 15
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Password-Strength-Evaluator-using-Machine-Learning

My TE Seminar mini project

* This is my third year mini project.

* Flask (Python web development framework) used for webpages.

* SVM (Support Vector Machines) used for training and classification purposes.

* Self-generated data set of 50000 instances

Steps:

1. First make sure you have flask installed, if not enter the following command in terminal:

`pip install Flask`.

2. Next, you need `scikit-learn`, which is a data mining tool in Python. Install it by typing:

`pip install -U scikit-learn`. 

3. After installing flask, extract the contents in a folder and then run the `__init__.py` file.

4.  Server runs at `localhost:5000`, type this address in the browser and see the SVM in action.

![GUI for this Project](Passwrd.png "GUI For this project")

![Working of Password Strength Evaluator](Password.png "In Action")