Access to timely and accurate analysis of medical data remains a major challenge due to the increasing volume of health records, lack of automation, and limited availability of intelligent processing systems. This This paper is about a system that uses GenAI to analyze health reports. The GenAI-based Health Report Analysis and Management System is designed to help doctors and patients understand documents.This thing uses Optical Character Recognition to change reports into text that computers can understand. It takes these reports. Turns them into something that computers can read. Then it uses Large Language Models to figure out what the text actually means. After that it uses Machine Learning to try to predict what might happen to a patients health. It is really using Optical Character Recognition and Large Language Models and Machine Learning to do all of this for the patients health. The system also has a feature that lets users ask questions about their medical data and get answers that are relevant to them.This works because of a framework called Retrieval-Augmented Generation.

The system is like a team of workers that do different jobs and work together. These workers are built using something called microservices architecture. * The part that users see called the frontend is built with React. The backend services, which do the lifting and the authentication part, which checks who is who are built with Django. The AI processing, which is, like the brain of the system is done with FastAPI. All the data is stored in a MySQL database, which's like a big filing cabinet, for computers. The system also uses a vector database, which helps the system find the information quickly in the MySQL database and the vector database. The MySQL database and the vector database work together to make it easy to find the information.. The people who made the system tested it. Found that it works well. It can process reports extract the important information and even predict what might happen to a patients health. The GenAI-based Health Report Analysis and Management System is an improvement, over the old way of doing things. It saves time. Makes it easier for people to get the information they need. The system uses different technologies, including GenAI, Health Record Management, OCR, Large Language Models, RAG, Machine Learning, Django, FastAPI and Disease Prediction. hese technologies all work together to make the system work. The system is an example of how Healthcare Analytics can be used to improve peoples lives. Healthcare Analytics is really making a difference here. We use Generative AI, Health Record Management and OCR to get things done. Large Language Models and RAG help us understand and connect the dots. Machine Learning is also key, well as Django and FastAPI. All these come together for Disease Prediction and more. It's all, about using Healthcare Analytics to help people. Healthcare Analytics helps us make peoples lives better. We are using Healthcare Analytics for peoples lives improvement.

Keywords: Generative AI, Health Record Management, OCR, Large Language Models, RAG, Machine Learning, Django, FastAPI, Disease Prediction, Healthcare Analytics.