AI Based Smart Assistant System for Alzheimer Person

Alzheimer Disease is a progressive disorder that affects memory and other significant mental actions. This gives an immense challenge to the care takers and patients and gets worsen over time. This work is proposed in a way to support Alzheimer patients in carrying out their routine activities independently and improve their quality of life. The proposed system integrates machine learning algorithms with mobile application for assisting the patients and supporting the care takers as well. The first part includes the AI algorithms such as Long Short-Term Memory (LSTM), Random Forest, Logistic Regression, Decision Tree, Support Vector Classifier (SVC) and Light Gradient-Boosting Machine (LightGBM) employed in predicting their routing activities and the results are compared to elevate the best algorithm. The second part consists of support system in which the mobile application plays a role in various tasks such as location tracking, personalized reminders, scheduling the medication and anomaly detection in human behavior. The study aims to present a support system in assisting the Alzheimer's patients with routine activities and scheduling their significant actions. This paves a way for improvising the patient safety and eases the burdens of care givers.