MCI Cognitive Care App: An AI-Powered Personalized Platform for Cognitive Training in Mild Cognitive Impairment Patients

Mild Cognitive Impairment (MCI) represents an early transitional phase between normal cognitive aging and dementia. Individuals with MCI experience measurable cognitive decline in domains such as attention, memory, and executive functioning, yet maintain independence in daily activities. If left untreated, MCI may progress to Alzheimer’s disease or other forms of dementia within a few years. This paper presents the MCI Cognitive Care App — an AIpowered, user-centric digital therapeutic system that delivers personalized cognitive rehabilitation through adaptive gameplay. The platform integrates twelve scientifically designed brain-training games that target specific cognitive domains including short-term memory, attention, processing speed, and executive reasoning. Personalization is achieved through a reinforcement learning (RL) framework that utilizes the Epsilon-Greedy Contextual Bandit algorithm to dynamically adjust difficulty levels, hints, and task sequencing based on real-time performance metrics. The system architecture is composed of a React.js frontend, Node.js backend, and a Python-based AI engine. Gamification techniques—such as badges, streaks, progress graphs, and motivational notification enhance long-term adherence. Furthermore, a multi-role dashboard allows clinicians, caregivers, and patients to collaborate seamlessly in monitoring progress and adapting interventions. Preliminary evaluations conducted over a 3 to 6-month period demonstrate improvements in memory retention and attention span, high usability, and positive feedback from both patients and clinicians. These findings indicate that the MCI Cognitive Care App holds promise as a scalable model for AIdriven neurorehabilitation and personalized cognitive health management.