Respiratory Disease Detection and Medical Assistant Using Deep Learning Project

The increasing prevalence of respiratory diseases necessitates early and accurate diagnosis to improve patient outcomes. This project presents an intelligent Respiratory Disease Detection and AI Medical Assistant System that utilizes Deep Learning techniques to analyze chest X-ray images and automatically identify respiratory conditions. The system employs a trained CNN model to classify X-ray images into five categories: Bacterial Pneumonia, Viral Pneumonia, Tuberculosis, COVID-19, and Normal. Alongside disease prediction, the system generates comprehensive medical reports in PDF format containing diagnostic results, recommendations, and doctor notes. An AI chatbot powered by Large Language Models assists users by answering medical-related queries and providing healthcare guidance. The system also maintains patient history records for future reference. Developed using Django, TensorFlow, OpenCV, and Groq LLM integration, the solution aims to provide a reliable, efficient, and user-friendly healthcare support platform.