π‘οΈ Cyber AI Dashboard
βPredictive AI-Powered Cybersecurity Digital Twin Platformβ
Cyber AI Dashboard is an intelligent cybersecurity simulation dashboard that creates a virtual security twin of a userβs digital presence. It predicts cyber risks, visualizes attack propagation, detects phishing/spam threats, and helps users improve their online security posture using AI and machine learning.
π¨ Problem Statement
In todayβs digital world, users operate across multiple online platforms such as email, social media, and professional networks. However, most users:
- Reuse passwords across accounts
- Ignore Two-Factor Authentication (2FA)
- Fall victim to phishing attacks
- Lack awareness of cyber risks
- Cannot visualize how attacks spread across platforms
Traditional cybersecurity tools are often reactive and only detect threats after compromise occurs.
CyberTwin AI addresses this gap by providing predictive cybersecurity intelligence and interactive attack simulations.
π‘ Solution
Cyber AI Dashboard creates a simulated digital twin of a userβs online presence and analyzes multiple security factors including:
- Password reuse
- 2FA usage
- Exposure levels
- Phishing susceptibility
- Platform vulnerabilities
Using multiple machine learning models, the system predicts cyber risk levels and visualizes potential attack chains before an actual compromise occurs.
The platform also includes:
- Real-time spam/phishing analysis
- Password strength evaluation
- AI-powered recommendations
- Interactive attack graphs
β¨ Features
π§ AI Risk Prediction
Uses multiple machine learning algorithms to calculate cyber risk scores:
- Logistic Regression
- Random Forest
- Decision Tree
- Gradient Boosting
- SVM
- KNN
π© Spam & Phishing Detection
Fetches real emails and analyzes suspicious/spam patterns using keyword-based threat detection.
β οΈ Attack Simulation
Simulates real-world cyber attack scenarios such as:
- Phishing attacks
- Credential theft
- Account takeover
- Malware propagation
π Password Strength Checker
Analyzes password strength based on:
- Length
- Uppercase characters
- Numbers
- Special symbols
πΈοΈ Attack Graph Visualization
Visualizes how cyber attacks propagate across interconnected accounts and platforms.
π οΈ Tech Stack
| Technology | Purpose |
|---|---|
| Python | Core backend logic |
| Streamlit | Interactive dashboard UI |
| Scikit-Learn | Machine learning models |
| Plotly | Data visualization |
| NetworkX | Attack graph generation |
| Pandas & NumPy | Data processing |
π Installation & Setup
Clone Repository
git clone https://github.com/yourusername/CyberTwin-AI.git
cd CyberTwin-AI
Install Dependencies
pip install -r requirements.txt
Run Application
streamlit run app.py
π Future Scope
Cyber AI Dashboard can be expanded into:
- π Browser Extension for real-time phishing detection
- π± Mobile Security Application
- π’ Enterprise Cyber Risk Dashboard
- π Real-time Threat Monitoring & Alerts
- π€ Advanced AI Threat Intelligence Engine
- βοΈ Cloud-Based Cybersecurity Analytics Platform
π― Target Audience
- Individual internet users
- Students & educational institutions
- Small businesses & startups
- Cybersecurity awareness programs
- Remote workers & digital professionals
π Why Cyber AI Dashboard?
Unlike traditional cybersecurity tools that react after attacks occur, CyberTwin AI focuses on:
β
Predictive cybersecurity
β
Attack visualization
β
AI-powered threat intelligence
β
Multi-platform risk analysis
β
Cyber awareness & education
πΈ Demo Preview
- Dashboard Overview
- AI Risk Prediction
- Attack Graph
- Spam Detection
- Password Analysis
π¨βπ» Authors
Developed by Team CyberTwin AI
π License
This project is developed for educational and hackathon purposes.
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