AgentCare : Burnout Guardian Using LangGraph
Year: 2025
Type: article
Abstract: Burnout has become a major concern among students and professionals due to prolonged stress, workload, and lack of personalized wellness support. Most existing wellness and productivity systems fail to identify early burnout signs or offer adaptive interventions. AgentCare introduces a privacy-first burnout detection and prevention system powered by LangGraph and Ollama, enabling intelligent, empathetic, and adaptive AI agents to detect, reason, and respond to burnout indicators. By combining local data analysis, mood tracking, and agentic AI reasoning, AgentCare provides real-time recommendations that evolve with user behavior. The system operates offline, ensuring data security while delivering personalized interventions for better mental well-being.
Authors: Saranyasree R, Sushma S, Vishnupriya N, Safrin Farjana M, Sini Prabhakar
Language: English
Topic: Stress and Burnout Research
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7092298532
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