A Multimodal AI Framework for Interactive Disease Prediction and Personalized Healthcare Guidance

Abstract

NeuroSense AI is a healthcare support platform that utilizes artificial intelligence for disease prediction and health monitoring. The platform combines natural language processing, symptom-disease mapping, and an interactive anatomical interface for better diagnosis. The user interface allows users to describe their symptoms via a chatbot, highlight areas affected by disease via a digital model of the human body, and set reminders for medication and appointments, as well as generate automated reports for medical consultation. The platform utilizes TF-IDF vectorization and machine learning classification for text-based symptom analysis and combines it with spatial mapping for better understanding. The platform also allows users to schedule appointments with medical professionals and generate reports for consultation. Experimental results show that the platform provides accurate classification and interaction for users. The main goal is to bridge the gap between self-assessment and consultation with a medical expert, while also making it clear that it is not a diagnosis by a certified expert.