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Smart assistance and real-time alert generation for mental health care using aiot

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dc.contributor.author Rao, Shreyas Suresh
dc.date.accessioned 2025-08-18T15:49:46Z
dc.date.available 2025-08-18T15:49:46Z
dc.date.issued 2025
dc.identifier.uri https://www.igi-global.com/chapter/smart-assistance-and-real-time-alert-generation-for-mental-health-care-using-aiot/375271
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19203
dc.description.abstract The percentage of senior citizens who stay alone is increasing day by day all over the world. Isolation and loneliness may lead to mental disorders like depression, alcohol addiction, irregular sleep, anxiety, and Alzheimer's.The proposed system aims to improve the planning of health care, provision of long-term self-care, and remote assistance and monitoring services for elderly individuals living alone. The proposed approach addresses the issue of mental health, thereby ensuring privacy, anonymity, and ease of access. The proposed system aims to provide i) voice/text-based assistance ii) identification of the patterns based on images/video uploaded iii) Chabot assistance iv) recommendations for healing based on audio/video/chat.Proposed automation is intended to improve the mental health care of the individuals and address the need to ensure quick treatment. This strategy opens up opportunities for more efficient and individualized mental health care in the digital era by improving early intervention capabilities and providing clients and caregivers with useful insights. en_US
dc.language.iso en en_US
dc.publisher IGI Global en_US
dc.subject Computer Science en_US
dc.subject Elderly mental health en_US
dc.subject Senior citizens living alone en_US
dc.subject Mental health monitoring en_US
dc.subject Depression in elderly en_US
dc.title Smart assistance and real-time alert generation for mental health care using aiot en_US
dc.type Book chapter en_US


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