Development of AI-Driven Decision Support System for Personalised Housing Adaptations and Assistive Technology

Artificial Intelligence is transforming the healthcare sector, providing innovative solutions to empower individuals and make medical support more personalized. This study introduces a novel AI-driven platform that links diseases and symptoms to relevant assistive technologies and housing adaptations, ultimately developing a tailored knowledge base for individuals diagnosed with complex chronic conditions such as muscular dystrophy. The platform development entails the integration of advanced Natural Language Processing (NLP) techniques and fuzzy matching algorithms into a user-friendly web-based interface. This enables successful interpretation of user input queries and generation of real-time tailored actionable insights and personalized recommendations for housing adaptation and assistive technologies. This research showcases a scalable, innovative method of patient care that revolutionizes the existing landscape by integrating new AI methodologies into healthcare databases to generate impactful and empathetic elderly and disabled care. The proposed system obtained a query resolution accuracy of 98% and aims to bridge critical gaps in healthcare and housing accessibility by offering solutions and a sense of empowerment to those navigating the challenges of chronic and progressive conditions.