AI-powered mental health support platform with anonymous chat, crisis detection, and peer support - Self-hosted & open source by Team ZenYukti
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Updated
Feb 17, 2026 - TypeScript
AI-powered mental health support platform with anonymous chat, crisis detection, and peer support - Self-hosted & open source by Team ZenYukti
End-to-end LLM agent that watches Reddit for brand mentions, triggers crisis alerts in minutes, and ships a daily insight brief to your team chat.
AI safety benchmark for long-term caregiving relationships. Tests crisis detection, regulatory compliance, and care quality across multi-turn conversations. Includes GiveCare system paper and InvisibleBench evaluation framework.
Accessible therapeutic AI optimized for Apple Silicon (M1/M2/M4) with 90% crisis detection accuracy. Implementation of ChatThero paper with professional-grade evaluation, Docker support, and comprehensive safety features. Runs locally with 4-6GB RAM.
AI mental health support platform — a router-based ensemble (fine-tuned RoBERTa classifier + FLAN-T5 specialists + LLaMA) for transparent, crisis-safe chat, plus mood tracking, guided breathing, and a therapist directory. Full-stack Node.js/Express + MongoDB + FastAPI/PyTorch.
Production-Grade Multi-Agent Therapeutic AI Platform | 17 Microservices | 100% Crisis Detection | HIPAA Compliant
Fractal Silk Route Hub: logistics crisis detection and Invisible Shadow weak-signal tracing
Serenity-Mental-Health-Chatbot: Serenity is a mental health chatbot built with a BiLSTM intent model, RAG system, and crisis detection. It offers empathetic conversations, safety handling, and a modern UI for real-time emotional support, analytics, and personalized user interaction. github.com
Two complementary AI agent skills for comprehensive mental health support: Crisis Detection for safety monitoring, and Praise Group for positive reinforcement.
Automated time series-based anomaly detection framework for crisis monitoring. Detects unusual behaviors, spikes, and trends for early warning systems in finance, industry, and cyber-security.
A non-commercial topology-based research prototype for crisis backtesting and 2026/2027 forward-looking market structure risk monitoring.
Agent Model-based reflex — Monitoring temps réel Neo4j + TimescaleDB + Ollama phi3:mini + SSE + post-mortem OpenAI. TypeScript, Docker Compose.
Real-time global crisis intelligence system that ingests live data from GDELT, OpenWeatherMap and NewsAPI, detects emerging crises using ST-DBSCAN clustering and Z-score anomaly detection, generates AI situation briefings via Groq LLM, and visualises everything on an interactive Streamlit dashboard.
NLP-based disaster information classification using Reddit data, TF-IDF, and machine learning for crisis intelligence.
VoiceMind: A voice-first AI mental health companion. Flutter + FastAPI + Google ADK with dual-channel emotion fusion, tiered crisis detection, and offline coping engine.
LangGraph agent team that turns "I have just arrived in Ireland, what do I do?" into an ordered plan with prerequisites. Every statement carries a dated citation; any question needing a judgement about someone's entitlements is handed to a human caseworker instead of answered. 546 tests, mypy strict, 4 import contracts.
🧠 MindWell — AI-powered Mental Health & Wellbeing Companion featuring multi-agent intelligence, conditional RAG, crisis detection, and interactive Streamlit UI.
Crisis recovery analysis for an online food delivery startup using Python EDA and Power BI dashboard
AI mental-health chatbot: multi-task DistilBERT classifier (emotion + crisis) fine-tuned on GTX 1650, with empathetic response generation and Streamlit UI.
Mental health support platform with PHQ-9/GAD-7 assessments, AI analysis, and 24/7 WhatsApp chatbot. HIPAA-compliant design with crisis detection.
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