xiaohanzhang2005/Minor-Detection
Self-evolving minor-user identification agent for anthropomorphic AI interaction, with trigger evaluation, evidence chains, and deployable protection workflows.
This project helps AI-powered platforms like chatbots or educational tools identify if a user is likely a minor, even if they don't explicitly state their age. It takes ongoing chat conversations as input and outputs a structured assessment including a probability score, evidence chains, and a risk level. This allows content moderators, compliance officers, and platform managers to implement protective measures for users.
Use this if you manage an AI interaction service and need a robust, auditable system to detect and respond to suspected minors based solely on conversational cues and behavior.
Not ideal if you are looking for a simple age classification model based on explicit data like ID verification or if you don't require an evolving, evidence-based detection system.
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Language
Python
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Last pushed
Apr 02, 2026
Commits (30d)
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