AI / Machine Learning
AI Scam Detection
An experimental classifier that flags scam and phishing messages by scoring linguistic and structural risk signals. Paste any message into the demo to see a deterministic, on-device analysis.
INTERACTIVE DEMOPythonscikit-learnNLPFastAPI
▹Interactive demo
Features
Risk scoring
Combines multiple weak signals into a single 0–100 risk score.
Indicator breakdown
Shows exactly which patterns triggered the score.
Classification
Labels a message as safe, suspicious, or high-risk.
Explainable
Every result comes with a plain-language explanation.
How it works
01
Ingest
The raw message text is normalized and tokenized.
02
Features
Urgency, payment, credential and link signals are extracted.
03
Score
Weighted signals produce a calibrated risk score.
04
Explain
Triggered indicators are surfaced back to the user.
Want to see more? Head back to the full project list.
← Back to Projects