Chest X-ray Classification

Developed an intelligent system for Chest X-ray Classification, utilizing artificial intelligence and deep learning techniques for accurate medical image analysis.

The project aims to build a reliable model capable of distinguishing between different health conditions by analyzing chest X-ray images, providing decision support for healthcare professionals and improving diagnostic efficiency.

Key Features of the Project:

Applied AI and deep learning algorithms to classify medical images with high accuracy.

Automated detection of common chest diseases, including pneumonia and normal cases.

Trained the model using real-world datasets from trusted medical sources.

Designed to be integrated into healthcare systems to assist in fast, accurate, and early diagnosis.