JustKlymax/KWASU-Pneumonia-Detection

Deep Learning-Based Pneumonia Detection using VGG19, ResNet50 and DenseNet121 # KWASU Pneumonia Detection System ## Overview This project is a deep learning-based web application for automatic pneumonia detection from chest X-ray images using three pre-trained convolutional neural network models: - VGG19 - ResNet50 - DenseNet121 The application allows users to upload a chest X-ray image and receive predictions from either an individual model or all three models simultaneously. --- ## Features - Chest X-ray image upload - AI-based pneumonia detection - Three deep learning models - Comparative prediction - Confidence score visualization - Modern Gradio interface --- ## Models - VGG19 - ResNet50 - DenseNet121 --- ## Technologies - Python - TensorFlow - Gradio - NumPy - Pillow --- ## Developed By Abdulhameed Olamilekan Alabi Computer Science Department Kwara State University (KWASU)