Early Alzheimer’s Care and Recovery Assistant using AI

Abstract

Alzheimer’s disease (AD) is a progressive brain disorder that damages neurons, leading to memory loss, confusion, and difficulties with everyday tasks such as medication management and orientation. These difficulties not only compromise patient safety but also increase caregiver stress. Existing market solutions, including reminder-based mobile apps and wearable trackers, offer limited support as they often address single functions without providing continuous cognitive monitoring or realtime caregiver communication. To overcome these limitations, this paper introduces the Alzheimer’s Identification and Recovery Assistant (AIRA), a mobile and cloud-enabled system that integrates speech analysis, facial recognition, and task reminders within a unified patient– caregiver platform. Built on Android Studio with Firebase cloud services and a Node.js backend, the system combines on-device AI modules for low-latency cognitive screening with cloud synchronization for secure data storage and caregiver alerts. Patients interact with simplified dashboards for reminders and guidance, while caregivers access detailed logs, emergency notifications, and monitoring tools. Early testing highlights the feasibility of this hybrid approach, showing potential to enhance independence, improve adherence to routines, and enable timely interventions. By bridging AI-driven assessment with cloud-based care coordination, AIRA represents a novel step toward scalable, accessible, and personalized digital health support for Alzheimer’s care