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UID:pretalx-devconf-us-2025-DDYW3H@pretalx.devconf.info
DTSTART;TZID=EST:20250919T102000
DTEND;TZID=EST:20250919T103500
DESCRIPTION:The project aims to assess the feasibility and effectiveness of
  an AI-enabled chatbot for mental health detection\, employing Large Langu
 age Models (LLM)\, Natural Language Processing (NLP)\, and Deep Learning m
 odels. The web application integrates social attributes to aid users with 
 mental health concerns\, offering self-assistance through personalized ass
 essments. The core strategy centers on fostering an "Optimistic Presence" 
 by deploying an AI-driven virtual assistant capable of empathic conversati
 ons\, active listening\, and emotional state analysis. The methodology inv
 olves emulating human mental health professionals\, assessing conditions t
 hrough various cues\, and offering tailored therapeutic interventions for 
 any stressed out individuals. Integration with health records using Azure 
 PostgreSQL allows collaboration with human providers for comprehensive car
 e. This innovative solution seeks to extend constant virtual AI therapy\, 
 revolutionizing mental health support with technology-driven personalized 
 assistance for students\, working professionals and many hidden victims of
  poor mental health.
DTSTAMP:20260315T080559Z
LOCATION:Hewitt Boardroom (Capacity 35)
SUMMARY:ZenZone: AI-Powered Peace of Mind - KEERTHI UDAYAKUMAR
URL:https://pretalx.devconf.info/devconf-us-2025/talk/DDYW3H/
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