Developed an intelligent chest disease classification system using X-ray images, leveraging artificial

Developed an intelligent chest disease classification system using X-ray images, leveraging artificial intelligence and deep learning techniques to assist in early medical diagnosis. Key features include:

Utilized Convolutional Neural Networks (CNNs) for accurate classification of chest conditions such as pneumonia and normal cases

Applied medical image preprocessing techniques (e.g., normalization, contrast enhancement) to improve model performance

Trained the model using publicly available datasets (e.g., ChestX-ray14, COVIDx)

Evaluated the system using key metrics such as accuracy, precision, recall, and F1-score

Designed to support healthcare professionals by providing reliable and fast diagnostic insights

This project highlights the potential of AI in the medical field, particularly in automating radiological assessments and enhancing diagnostic efficiency.