Alzheimer's disease (AD) is a progressive neurodegenerative disorder that gradually impairs memory, communication, and the ability to perform daily tasks, creating significant challenges for both patients and their caregivers. Existing assistive tools tend to address isolated needs without offering an integrated, intelligent, and real-time support system. This paper presents the Early Alzheimer's Care and Recovery Assistant using AI, a fully implemented Android-based mobile application supported by a cloud backend, designed to assist Alzheimer's patients in managing their daily lives while enabling caregivers to monitor, communicate, and respond effectively. The system integrates facial recognition using TensorFlow Lite, speech-based cognitive monitoring using the Android Speech Recognizer, and intelligent task reminders within a dual-dashboard patient–caregiver interface. The backend is powered by Firebase Authentication, Cloud Firestore, and Firebase Cloud Messaging, with a Node.js API hosted on Vercel for scalable and secure data handling. It is important to note that this system does not claim to treat or cure Alzheimer's disease. Its purpose is entirely assistive  to help patients maintain independence in their daily routines, support caregivers with real-time information and alerts, and provide a dignified layer of AI-powered assistance for individuals navigating life with dementia. Implementation results demonstrate functional accuracy across core modules, responsive real-time alert delivery, and positive usability feedback from early testing, highlighting the practical potential of this system in real-world Alzheimer's care settings.