The Cyber Password Energy Analyzer Utilizing Python Django & Machine Studying is a web-based cybersecurity software designed to research password power and assist customers create safer passwords.
The system makes use of a skilled Random Forest Machine Studying mannequin to guage completely different password traits equivalent to size, uppercase and lowercase letters, numbers, particular characters, entropy, repeated patterns, widespread passwords, and dictionary phrases.
Primarily based on the evaluation, passwords are labeled as Weak, Medium, Sturdy, or Very Sturdy. The applying additionally supplies clever suggestions, a safety rating, estimated crack time, password historical past, stories, and a consumer dashboard.
Developed utilizing Python, Django, SQLite, Bootstrap, JavaScript, and Machine Studying, this venture is appropriate for college kids searching for a sensible Cyber Safety, Python Django, or Machine Studying final-year venture.
Principal Options
- Consumer Registration and Login
- Machine Studying Password Evaluation
- Random Forest Prediction
- Password Energy Classification
- Password Entropy Calculation
- AI-Primarily based Password Suggestions
- Estimated Password Crack Time
- Safety Rating
- Consumer Dashboard
- Password Evaluation Historical past
- Date-Clever Studies
- Profile Administration
- Safe Password Change
- Responsive Consumer Interface
Know-how Stack
| Know-how | Used |
|---|---|
| Python | ✔ |
| Django | ✔ |
| SQLite | ✔ |
| HTML5 | ✔ |
| CSS3 | ✔ |
| Bootstrap | ✔ |
| JavaScript | ✔ |
Who Can Use This Challenge?
This venture is appropriate for college kids who’re serious about Python, Django, Machine Studying, Synthetic Intelligence, or Cyber Safety.
It may be helpful for college kids pursuing programs equivalent to:
- BCA
- MCA
- B.Tech
- BE
- B.Sc Pc Science
- M.Sc Pc Science
- B.Sc IT
- M.Sc IT
- Cyber Safety
- Python Programming
- Machine Studying
It will also be used as a Last Yr Challenge, Main Challenge, Minor Challenge, Faculty Challenge, Django Challenge, Machine Studying Challenge, or Cyber Safety Challenge.
What You Will Be taught
Engaged on this venture will help college students perceive a number of sensible ideas, together with:
- Django internet software improvement
- Consumer authentication
- Database operations
- Password safety ideas
- Machine Studying mannequin integration
- Characteristic extraction
- Random Forest classification
- Password entropy calculation
- Reporting and knowledge filtering
- Constructing responsive internet interfaces
Challenge Package deal
The venture bundle can embrace:
- Full Python Django Supply Code
- SQLite Database
- Challenge Documentation
- Challenge PPT
- Set up Information
- Challenge Screenshots
Software program Necessities
- Python 3.x
- Django
- SQLite
- Visible Studio Code
- PyCharm (Non-compulsory)
Challenge Screenshots
House Web page
Consumer Registration
Consumer Dashboard
Password Evaluation
Report
How one can Run the Challenge
Step 1: Obtain the venture ZIP file.
Step 2: Extract the ZIP file.
Step 3: Copy the CyberPasswordStrengthAnalyzer folder and paste it in your Desktop.
Step 4: Open PyCharm.
Step 5: Open the terminal in PyCharm.
Step 6: Navigate to the venture folder utilizing the cd command.
cd project_pathInstance:
cd C:Usersyour_computer_nameOneDriveDesktopCyberPasswordStrengthAnalyzerIt’s also possible to straight import the venture folder into PyCharm.
Step 7: Now navigate to the cyberpassword
cd cyberpasswordStep 8: Run the Django venture.
python handle.py runserverStep 9: Open your browser and go to:
http://127.0.0.1:8000/Now the Cyber Password Energy Analyser system will run efficiently.
It’s also possible to register a brand new consumer from the registration web page.
🚀 Reside Demo
Discover the AI Powered Password Energy Analyser earlier than buying.
Ceaselessly Requested Questions (FAQs)
The Cyber Password Energy Analyzer is a Python Django-based cybersecurity software that makes use of Machine Studying to guage password safety. It analyzes traits equivalent to password size, uppercase and lowercase letters, numbers, particular characters, entropy, widespread passwords and predictable patterns. Primarily based on these elements, the system classifies passwords as Weak, Medium, Sturdy or Very Sturdy and supplies suggestions to enhance password safety.
The venture makes use of the Random Forest algorithm for password power prediction. The skilled mannequin analyzes completely different password options and predicts the general power of the entered password.
The venture is developed utilizing Python, Django, Machine Studying, Random Forest, SQLite, HTML, CSS, Bootstrap, and JavaScript.
The system analyzes password size, uppercase and lowercase characters, numbers, particular characters, entropy, dictionary phrases, widespread passwords, repeated characters, and sequential patterns. These options are then processed by the Machine Studying mannequin to foretell password power.
Sure. The system supplies AI-assisted password suggestions based mostly on the weaknesses detected within the password. It may counsel enhancements equivalent to rising password size, including particular characters, avoiding widespread phrases, and decreasing predictable patterns.
The Machine Studying mannequin classifies passwords into 4 classes:
Weak
Medium
Sturdy
Very Sturdy
Sure. The venture consists of safe consumer registration, login, logout, session administration, profile administration, and alter password performance utilizing Django.
Sure. This venture is appropriate for BCA, MCA, B.Tech, BE, B.Sc Pc Science, M.Sc Pc Science, B.Sc IT, M.Sc IT, Cyber Safety, Python, and Machine Studying college students searching for a ultimate 12 months, main, or minor venture.
The venture combines necessary ideas equivalent to password safety, entropy evaluation, password sample detection, Machine Studying classification, safe authentication, and AI-assisted suggestions, making it a sensible cybersecurity educational venture.
