Mental health has emerged as a critical public health challenge with nearly one billion people globally living with mental health conditions. Despite this prevalence, significant barriers exist in accessing mental health support, including limited availability of professionals, high costs, and social stigma. MindCare addresses these challenges through an artificial intelligence-powered mental health support platform. By leveraging machine learning, natural language processing, and emotional analysis algorithms, MindCare creates a comprehensive digital ecosystem for mental health support. The platform incorporates clinical assessment tools, intelligent emotion tracking, and personalized intervention strategies while maintaining a balance between automated support and professional care. This paper details the development, implementation, and evaluation of MindCare, demonstrating its potential to democratize access to mental health support through technology-enabled, personalized care strategies.

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Mindcare: An AI Driven Mental Health Diagnostic and Support System

  • A. Sirisha,
  • T. Prathima,
  • Shambhavi Mishra,
  • Aryan Durge,
  • Pranav Bhandari

摘要

Mental health has emerged as a critical public health challenge with nearly one billion people globally living with mental health conditions. Despite this prevalence, significant barriers exist in accessing mental health support, including limited availability of professionals, high costs, and social stigma. MindCare addresses these challenges through an artificial intelligence-powered mental health support platform. By leveraging machine learning, natural language processing, and emotional analysis algorithms, MindCare creates a comprehensive digital ecosystem for mental health support. The platform incorporates clinical assessment tools, intelligent emotion tracking, and personalized intervention strategies while maintaining a balance between automated support and professional care. This paper details the development, implementation, and evaluation of MindCare, demonstrating its potential to democratize access to mental health support through technology-enabled, personalized care strategies.