Year: 2024
Type: article
Abstract: Mental health issues, including stress, anxiety, and depression, are becoming increasingly prevalent, affecting individuals across all age groups.However, traditional mental health support systems often lack accessibility, personalization, and community engagement.Ikig-ai is an ai-driven mobile platform designed to revolutionize mental health care by integrating artificial intelligence, peer interactions, and professional consultations.This platform aims to provide a holistic wellbeing experience for adolescents, young adults, and seniors through personalized progress tracking, virtual workshops, and ai-powered recommendations.By leveraging facial expression analysis and natural language processing, ikig-ai can assess emotional states in real time and provide personalized insights, coping strategies, and mood-enhancing content.Users can connect with peers in a supportive community, access expert guidance from psychiatrists, and participate in interactive well-being programs.The platform also integrates additional features such as guided meditation, breathing exercises, sleep monitoring, and cognitive behavioral therapy (cbt)-based self-help modules to support mental well-being.A significant aspect of ikig-ai is its emphasis on data privacy and ethical ai use.The platform ensures strict confidentiality, adhering to global mental health and data protection standards to safeguard user information.With a user-friendly interface and multilingual support, ikig-ai makes mental health resources more accessible to diverse populations, including those in remote areas.By combining ai-driven analytics with a human-centric support system, ikig-ai bridges the gap between conventional therapy and modern technology.It empowers individuals to proactively manage their mental health, fostering resilience, emotional balance, and overall psychological well-being.Through its innovative, secure, and accessible approach, ikig-ai aims to redefine the future of mental health support and create a lasting societal impact.
Author: SABAPATHI L
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408911366