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A Deep Learning project that classifies chest X-ray images as Normal or Pneumonia using PyTorch and Transfer Learning.

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# Pneumonia Detection from Chest X-ray Images

A Deep Learning project that classifies chest X-ray images as **Normal** or **Pneumonia** using **PyTorch** and **Transfer Learning**.

The project demonstrates a complete deep learning workflow, including data preprocessing, model training, validation, and performance evaluation on medical imaging data.

---

## 📌 Features

- Chest X-ray image classification
- Binary classification (Normal vs Pneumonia)
- Transfer Learning with pretrained models
- GPU support with PyTorch
- Training progress visualization
- Model evaluation on validation/test datasets
- Clean and well-documented Jupyter Notebook

---

## 🛠 Technologies Used

- Python
- NumPy
- Matplotlib
- PyTorch
- TorchVision
- timm
- tqdm
- torchsummary
- Jupyter Notebook

---

## 📚 Libraries

```python
numpy
matplotlib
torch
torchvision
tqdm
torchsummary
timm
```
---

## 📊 Dataset

This project uses a Chest X-ray dataset containing images from two classes:

- Normal
- Pneumonia

The dataset is divided into:

- Training set
- Validation set
- Test set

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