Thèses en ligne de l'université 8 Mai 1945 Guelma

AI-Powered Conversational Home Assistant for Elderly Care

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dc.contributor.author AZZEDINE, DHIYA EDDINE
dc.date.accessioned 2024-11-28T14:04:49Z
dc.date.available 2024-11-28T14:04:49Z
dc.date.issued 2024
dc.identifier.uri http://dspace.univ-guelma.dz/jspui/handle/123456789/16458
dc.description.abstract Seniors face many challenges, such as managing chronic diseases, monitoring their health status, and maintaining an active social life. These challenges are often exacerbated by loneliness and social isolation, which can have detrimental effects on their mental and emotional well-being. In response to these challenges, our project aims to develop a com- prehensive and integrated solution that not only monitors and improves their physical health, but also provides them with emotional and social support. Our proposed system uses IoT technologies to collect real-time data on various aspects of users’ health, such as heart rate, blood pressure, and sleep patterns. This data is then analyzed by sophisticated AI algorithms, which can detect anomalies and provide personalized recommendations. For example, the system can alert users to take their medication, consult a doctor, or adjust their diet and exercise routine. In addition to health monitoring features, our system integrates advanced communication tools to com en_US
dc.language.iso en en_US
dc.publisher University of guelma en_US
dc.subject AI-Powered Conversational Home, Assistant Elderly Care en_US
dc.title AI-Powered Conversational Home Assistant for Elderly Care en_US
dc.type Working Paper en_US


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