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Careconnect:AI-powered companion for the elderly

Tan, Wen Pang (2025) Careconnect:AI-powered companion for the elderly. Final Year Project, UTAR.

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    Abstract

    This project presents the design and development of a mobile application aimed at supporting elderly users by enhancing safety, independence, and memory health. The system integrates several core features into a single platform, including medication management, AI-powered chatbot assistance, emergency alert and caregiver connectivity, and facial recognition for memory recall. The medication module provides timely reminders with user-friendly options, while the chatbot enables natural language interaction to add, find, and manage medical records. The emergency module ensures safety by triggering alerts through a countdown system and automatically notifying registered caregivers with location details if no response is received. In addition, the facial recognition module assists elderly users in identifying familiar faces and allows new samples to be added to improve accuracy. The application was developed in Android Studio using Room Database for local data storage and OpenAI API for chatbot interaction, with emphasis on usability and accessibility through large buttons, intuitive navigation, and clear alerts. System evaluation confirmed that all modules functioned effectively, with alarms triggering reliably, chatbot responses processed correctly, emergency notifications reaching caregivers, and facial recognition performing with satisfactory accuracy. Overall, the project demonstrates the potential of integrating AI technologies into a user-centric mobile application to promote elderly safety, strengthen caregiver connectivity, and improve quality of life.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Information Systems (Honours) Information Systems Engineering
    Depositing User: ML Main Library
    Date Deposited: 28 Dec 2025 23:01
    Last Modified: 28 Dec 2025 23:01
    URI: http://eprints.utar.edu.my/id/eprint/7020

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