Detect Phishing & Online Scams with AI
Analyze suspicious messages, emails and URLs and identify potential online scams.
Quick examples
ScamShield AI is an educational prototype. Its demo scoring is not a guarantee of safety or a replacement for professional security review.
How it works
From input to an understandable safety signal.
A straightforward four-step pipeline makes the prototype easy to explain during a project presentation.
User Input
Message / Email / URL
Preprocessing
Clean and prepare the input
AI Analysis
Analyze suspicious patterns
Risk Assessment
Generate risk score and result
Core features
Designed to make risk easier to spot.
Clear signals, transparent explanations, and no claim of guaranteed detection.
AI-Based Detection
Pattern-based prototype scoring highlights common scam language.
URL Analysis
Flags shortened, unencrypted, and suspicious-looking link patterns.
Text Analysis
Checks urgency, rewards, threats, and credential requests.
Risk Score
Returns an easy-to-read risk percentage and severity level.
Explainable Results
Shows the indicators that influenced the assessment.
Real-Time Warning
Provides a clear safety recommendation as soon as you analyze.
Project dashboard
Sample project statistics
10,000+
Messages Analyzed
95%
Detection Accuracy
3
Risk Categories
24/7
Automated Analysis
Test the prototype
Demo examples
Choose an example to populate the analyzer and view the expected risk assessment.
Example 1 — Phishing
“Your account will be suspended. Verify your details immediately using this link.”
Example 2 — Scam
“Congratulations! You won ₹50,000. Click the link to claim your reward.”
Example 3 — Safe
“Your college meeting is scheduled for tomorrow at 10 AM.”
About ScamShield AI
An explainable cybersecurity learning project.
ScamShield AI is a prototype designed to demonstrate how Artificial Intelligence and Machine Learning can assist in detecting phishing and online scam patterns.
This presentation-ready demo uses transparent rule-based sample logic. It is not intended to provide guaranteed or 100% accurate scam detection.