AI Chaperone: Awareness Chatbot for Alzheimer’s Disease

Abstract

This project proposes the development of a RAG Chatbot tailored specifically to assist Alzheimer's patients in managing their memory abnormalities and providing them with answers to their queries. The chatbot utilizes state-of-the-art natural language processing techniques to understand and respond to patient inquiries, while leveraging RAG to enhance the relevance and accuracy of its responses.The primary goal of this project is to provide Alzheimer's patients with a supportive and interactive tool that can help mitigate the impact of memory impairment on their daily lives. It acts as an information resource, offering answers to common questions about Alzheimer's disease, treatment options, and lifestyle management strategies.Key features of the RAG Chatbot include personalized conversation histories to track patient interactions and preferences, adaptive dialogue generation to tailor responses to individual needs, and integration with existing healthcare systems for seamless coordination of care. Furthermore, the chatbot undergoes continuous improvement through machine learning algorithms that analyze patient feedback and update its knowledge base accordingly. Overall, the RAG Chatbot represents a promising advancement in Alzheimer's patient assistance, offering a scalable and accessible solution to support individuals living with memory disorders.