dcarpintero/minerva

Multi-Agent LLM System for Digital Scam Protection

36
/ 100
Emerging

This project helps individuals protect themselves from digital scams by analyzing suspicious communications. You provide a screenshot of a message (like an email or text), and it tells you if it's a scam, why it thinks so, and a confidence level. Anyone concerned about identifying online fraud, such as consumers, elderly family members, or small business owners, would find this useful.

No commits in the last 6 months.

Use this if you need a quick, clear assessment of whether an unsolicited digital message, advertisement, or link is a scam.

Not ideal if you need to analyze highly technical cybersecurity threats or conduct deep forensic investigations, as this focuses on common digital fraud.

digital-security fraud-prevention online-safety consumer-protection scam-detection
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

12

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Dec 19, 2024

Commits (30d)

0

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