Pneumonia Detection System

In this project, I have developed a deep learning model to detect pneumonia from chest X-ray images using Convolutional Neural Networks (CNNs). The purpose is to assist healthcare professionals by providing an automated tool for early and accurate pneumonia diagnosis.

Key Features

1. Data Loading and Preprocessing:

   medical imaging data handled by implementing processes such as resizing, normalization, and augmentation techniques to enhance model robustness.

2. Model Training:

   Deep learning model using TensorFlow for binary classification (Pneumonia vs. Healthy).

Dataset

This model trained on publicly available chest X-ray datasets (Kaggle's Pneumonia Detection Dataset), containing labeled images categorized as "Pneumonia" or "Normal".

Usage

To utilize the model, clone the repository, ensure all dependencies are installed. For now, it just to test locally

Explore the code: