Password-strength-classifier

About

A password strength classifier is essential for bolstering cybersecurity. With increasingly sophisticated cyber threats, enforcing robust password policies is paramount. This project helps users identify and enhance the resilience of their passwords, promoting secure online practices. By categorizing passwords into low, moderate, and high strengths, individuals and organizations can proactively fortify their digital defenses, mitigating the risk of unauthorized access and potential data breaches. Linear SVC model performs the best with F1-score of 0.64.

Summary

Data visualization | Model building | Model deployment

How to run?

Run locally

1. Run docker pull python:3.10.4-slim to download the python image image from the Docker Hub registry to local machine.
2. Run docker build -t <name>:<tag-optional> . to build docker image.
3. Run docker run -it -p <port>:<port> <name>:<tag-optional> to build docker image. Can use 8081 as port if available in system.

Deploy

1. On the same folder, run eb init -p docker <name> to initialize an Elastic Beanstalk environment for a Docker application. Make sure an AWS account has been created as aws-access-id and aws-secret-key would be prompted.
2. Run eb create <name> to create a new environment the application.
3. Run eb terminate <name> to stop and delete existing Elastic Beanstalk environment after finish testing.

Sample results/ output

Links

Dataset: Password strength dataset