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@article{165116,
        author = {Vishal S B and Sanjana V and Neha B K and Kushal S Gowda and Yamini Sahukar P},
        title = {REACH: Remote Elderly Assistance and Care Hub },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {512-521},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165116},
        abstract = {The global demographic shift towards an aging population, the demand for advanced and accessible solutions for elderly care intensifies. This initiative addresses the challenge by leveraging NLP capabilities, facilitating seamless and natural communication between elderly users and the application. Speech recognition enables seniors to effortlessly articulate their needs, while sentiment analysis ensures a nuanced understanding of their emotional states. The personalized assistance feature encompasses crucial aspects of daily living, including medication reminders, health monitoring, and emergency responses, enhancing overall well-being. The user-friendly interface of the Android application prioritizes simplicity and accessibility, catering specifically to the unique requirements of the elderly demographic. The harmonized widespread use of Android devices with the sophistication of NLP is aimed to establish a comprehensive, compassionate, and user-centric solution, contributing significantly to the enhancement of elderly care services in an era marked by a growing aging population.},
        keywords = {Natural Language Processing (NLP), Mental health chatbot, Medication Management, Home Based Care Services.},
        month = {},
        }