AI Suicide Risk Detection

This system uses advanced natural language processing to detect signs of emotional crisis and potential suicide risk. It supports early intervention by identifying high-risk messages with high sensitivity and contextual awareness.

25,822

Comments Analyzed

96.11%

Precision Rate

96.24%

F1-Score

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Analysis Results

Real-time suicide risk classification with confidence scoring.

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Live AI Model: This application connects to a real machine learning model. Results are generated by an AI system trained to detect signs of suicidal ideation or emotional crisis. The API returns binary labels (RISK/NO_RISK) along with confidence scores (0–1).

While the model demonstrates strong performance on a validated test set using cross-validation, its accuracy may vary in real-world scenarios. This tool must be used under human supervision and should never replace clinical judgment or emergency services.