Cyber Password Strength Analyzer Using Python Django & Machine Learning is a web-based cybersecurity project that analyzes password strength in real time using a trained Random Forest model. It classifies passwords as Weak, Medium, Strong, or Very Strong and provides AI-based recommendations to improve password security.
AI-Powered Password Strength Analyser Using Python, Django & Machine Learning Project Package Includes:
- Full Source Code of the project.
- Project Report (in doc and PDF formats, 90 pages).
- Project PPT
The project and Report are Downloadable immediately after payment is successful.
The Cyber Password Strength Analyzer Using Python Django and Machine Learning is a web-based cybersecurity project designed to analyze password strength using Machine Learning and provide intelligent recommendations for creating stronger and more secure passwords.
The system uses a Random Forest Machine Learning model to evaluate passwords based on multiple security parameters such as password length, uppercase and lowercase characters, numbers, special characters, entropy, repeated characters, common passwords, dictionary words, and sequential patterns.
Based on these parameters, the system classifies passwords into:
- Weak
- Medium
- Strong
- Very Strong
If a password is found to be weak or medium, the system provides AI-assisted recommendations explaining the weaknesses and suggesting ways to improve password security.
The application is developed using Python, Django, SQLite, Bootstrap, HTML, CSS, JavaScript, and Machine Learning and follows Django’s Model-View-Template (MVT) architecture.
Main Features
- User Registration and Login
- AI-Based Password Strength Analysis
- Machine Learning Prediction using Random Forest
- Weak, Medium, Strong & Very Strong Classification
- Password Entropy Calculation
- Password Security Score
- AI Password Improvement Recommendations
- Secure Password Generator Suggestions
- User Dashboard with Analysis Statistics
- Password Analysis History
- Date-Wise Reports
- Estimated Password Crack Time
- Change Password with Strength Validation
- Profile Management
- Secure Logout and Session Management
- Responsive Bootstrap User Interface
Technologies Used
- Python
- Django Framework
- Machine Learning
- Random Forest Algorithm
- SQLite Database
- HTML5
- CSS3
- Bootstrap
- JavaScript
- Django Authentication System
Who Can Use This Project?
This project is suitable for students pursuing:
- BCA
- MCA
- B.Tech
- BE
- B.Sc Computer Science
- M.Sc Computer Science
- B.Sc IT
- M.Sc IT
- Diploma in Computer Science
- Cyber Security Courses
- Software Engineering Courses
- Python and Django Courses
It can be used as a:
- Final Year Project
- Major Project
- Minor Project
- College Project
- Academic Project
- Machine Learning Project
- Cyber Security Project
- Python Django Project
Project Deliverables
The project package can include:
- Complete Python Django Source Code
- SQLite Database
- Machine Learning Model
- Dataset / Training Files
- Project Documentation / Report
- Project Presentation PPT
- Database Details
- Installation Instructions
- Project Screenshots
- Setup Guide
Software Requirements
- Python 3.x
- Django
- SQLite
- Web Browser
- Code Editor such as VS Code or PyCharm
Supported Operating Systems
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