CrisisWatch AI
Features Dashboard Technology About
Mental Health Monitoring

AI-Powered Mental Health
Crisis Detection

Advanced NLP and sentiment analysis to monitor mental health risks in real-time through social media content. Detect crisis indicators, analyze sentiment patterns, and provide geospatial insights for early intervention and support.

Advanced Mental Health Analytics

Our AI-powered platform combines natural language processing, sentiment analysis, and geospatial intelligence to provide comprehensive mental health crisis monitoring across Reddit social media platform.

Crisis Detection

Advanced keyword filtering and AI classification to identify high-risk mental health posts across multiple subreddits including r/suicidewatch, r/depression, and r/mentalhealth.

  • Real-time post monitoring
  • Multi-category risk assessment
  • Coded language recognition

NLP Analysis

DistilBERT transformer model for risk classification and VADER sentiment analysis for emotional state detection with 94% accuracy in crisis identification.

  • DistilBERT transformer model
  • VADER sentiment analysis
  • spaCy entity recognition

Geospatial Mapping

Location extraction and geocoding to visualize crisis hotspots and geographic risk distribution patterns using Nominatim geocoding service.

  • Interactive heatmaps
  • Crisis hotspot identification
  • Geographic risk analysis

Real-time Analytics

Interactive dashboards with risk trends, sentiment analysis, user behavior patterns, and engagement metrics updated every 10 minutes.

  • Live data visualization
  • Trend analysis
  • Custom date filtering

User Behavior Tracking

Monitor user posting patterns, risk escalation, and sentiment trends to identify individuals needing support and track behavioral changes over time.

  • Post frequency analysis
  • Risk escalation tracking
  • Sentiment trend monitoring

Multi-Category Detection

Specialized detection for mental health, suicide risk, and substance abuse with coded language recognition and context-aware analysis.

  • Mental health indicators
  • Suicide risk assessment
  • Substance abuse detection

Comprehensive Dashboard Analytics

Access detailed insights through our interactive dashboard featuring five comprehensive analysis tabs: Risk Analysis, Sentiment Tracking, Geographic Visualization, User Behavior Monitoring, and Engagement Analytics.

Dashboard Overview

5 Analysis Tabs
Risk Distribution
Interactive Charts
Pie charts, line graphs, area plots
Time Series Analysis
Trend Tracking
Historical data patterns
Sentiment Analysis
VADER Engine
Emotional pattern detection
Real-time sentiment scoring
Geographic Analysis
Heat Maps
Crisis hotspot visualization
Location-based insights
User Behavior
Pattern Analysis
Individual risk tracking
Behavioral trend monitoring
Engagement Metrics
Interaction Data
Post engagement analysis
Upvotes, comments, trends

Dashboard Capabilities

Risk Level Distribution
High, moderate, low risk categorization
Sentiment Trends
Positive, negative, neutral analysis
Geographic Heatmaps
Crisis location mapping
User Activity Tracking
Individual behavior patterns
Engagement Analytics
Post interaction metrics

Real-time Processing

Continuous monitoring of 6 mental health communities. Advanced keyword lexicon filtering ensures only relevant crisis-related content is analyzed.

Auto-refresh: 10 min Communities: 6

Powered by Advanced AI Technology

Built with state-of-the-art machine learning models, natural language processing frameworks, and modern web technologies to deliver accurate, real-time mental health crisis detection.

DistilBERT
Transformer Model
Risk Classification Engine

85% accuracy in crisis detection

VADER
Sentiment Analysis
Emotional State Detection

Real-time sentiment scoring

spaCy
NLP Pipeline
Entity Recognition

Location extraction & processing

Plotly
Data Visualization
Interactive Charts

Dynamic dashboard components

System Architecture

Data Collection

Reddit API integration with PRAW library for real-time post extraction from mental health communities. Advanced keyword filtering ensures relevant content capture.

AI Processing

Multi-stage NLP pipeline with text preprocessing, sentiment analysis using VADER, and risk classification through fine-tuned DistilBERT transformer model.

Visualization

Interactive Dash dashboard with Plotly charts, real-time updates, and comprehensive analytics across risk levels, sentiment trends, and geographic patterns.

About CrisisWatch AI

Dedicated to leveraging artificial intelligence for mental health crisis prevention and early intervention through Reddit social media monitoring and analysis.

Our Mission

CrisisWatch AI was developed to address the critical need for early detection of mental health crises in online communities. By monitoring social media platforms where individuals often express their struggles, we aim to identify those at risk and facilitate timely intervention.

Our platform combines cutting-edge natural language processing, machine learning, and data visualization technologies to provide mental health professionals, researchers, and support organizations with actionable insights for crisis prevention.

Privacy-focused analysis with anonymized data
Real-time monitoring and alert systems
Research-backed methodologies and algorithms

Monitored Communities

Mental Health Support

  • r/mentalhealth - General mental health discussions
  • r/depression_help - Depression support community

Crisis Intervention

  • r/suicidewatch - Crisis support and intervention
  • r/offmychest - Personal struggle sharing

Substance Use Recovery

  • r/addiction - Addiction recovery support
  • r/drugs - Substance use discussions

Start Monitoring Mental Health Risks Today

Access our AI-powered dashboard and begin analyzing mental health patterns in real-time. Join the effort to prevent mental health crises through early detection and intervention.