siyuanchen0214/Scam-AI-Multi-modal-Evaluation-System

Health v2 · maintenance only

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1001 stars · 88 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python-based multi-modal AI system for detecting fraudulent content across text, image, audio, and video, with provenance tracing and cross-modal consistency analysis. It includes an alert engine, signal combination strategies, and continuous learning of evolving generative patterns.

Use cases

• detect scam content in text images audio and video
• trace the provenance of AI-generated content
• detect deepfakes across multiple modalities
• flag fraudulent social media posts automatically
• analyze cross-modal inconsistencies to spot fraud
• build an alerting pipeline for fraud signals

When to choose

• you need multi-modal fraud or scam detection in Python
• you want provenance tracing for AI-generated content
• you need configurable alert rules over combined detection signals

When to avoid

• you need a production-grade, commercially supported fraud platform
• you only need simple keyword-based spam filtering
• you cannot run GPU-backed ML models locally

Facets

library · maturity active

machine-learning nlp image-processing audio-processing video-processing computer-vision security alerting analytics artificial-intelligence security deep-learning computer-vision python cross-platform fraud-detection deepfake-detection multi-modal provenance-tracing scam-detection content-authenticity natural-language-processing audio video

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markdown · JSON · MCP: product_card(name="siyuanchen0214/Scam-AI-Multi-modal-Evaluation-System")