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

dc.contributor.authorRao, Shreyas Suresh
dc.date.accessioned2025-08-18T15:49:46Z
dc.date.available2025-08-18T15:49:46Z
dc.date.issued2025
dc.description.abstractThe 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.identifier.urihttps://www.igi-global.com/chapter/smart-assistance-and-real-time-alert-generation-for-mental-health-care-using-aiot/375271
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19203
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subjectComputer Scienceen_US
dc.subjectElderly mental healthen_US
dc.subjectSenior citizens living aloneen_US
dc.subjectMental health monitoringen_US
dc.subjectDepression in elderlyen_US
dc.titleSmart assistance and real-time alert generation for mental health care using aioten_US
dc.typeBook chapteren_US

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