International Research Journal of Education and Technology

The burgeoning field of medical imaging is witnessing a remarkable stride with the advent of automated techniques for lung disease detection through the meticulous analysis of chest X-rays. This project meticulously navigates a comprehensive literature landscape, culminating in the adept implementation of an advanced system. This system harnesses the power of Convolutional Neural Networks (CNNs), pushing the boundaries of diagnostic precision and operational efficiency. The diseases under scrutiny include Bacterial Pneumonia, Corona Virus Disease, Normal cases, Tuberculosis, and Viral Pneumonia. Beyond the intricacies of deep learning, the project ventures into the realm of user interaction by seamlessly integrating Flask, a Python web framework. This addition transcends mere functionality by architecting a user-friendly graphical interface, tailored to the discerning needs of healthcare professionals. This innovative amalgamation of cutting-edge neural network methodologies and an intuitively designed interface not only promises but stands poised to revolutionize the landscape of lung disease diagnosis