AI Driven Visual Question Answering in Healthcare

Healthcare diagnosis using medical images has become increasingly important with advancements in Artificial Intelligence. This project proposes an intelligent multi- disease analysis system that integrates deep learning models and Large Language Models (LLMs) to analyze medical scan images and predict possible diseases. The system uses pre-trained Convolutional Neural Network (CNN) models to detect diseases such as brain stroke and lung diseases from CT and MRI scans. In addition, a Large Language Model is incorporated to provide descriptive insights and explanations based on the uploaded images. It helps in interpreting scan results, explaining disease characteristics, and offering meaningful medical insights. The proposed system provides a unified platform where users can upload images for automated analysis. By combining image classification with natural language understanding, the system improves diagnostic support, reduces manual effort, and assists healthcare professionals in making faster and more accurate clinical decisions.