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metadata
title: Chest X-ray Disease Detection
emoji: 🚀
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.49.1
app_file: app.py
pinned: false

Chest X-ray Disease Detection

This project predicts whether a chest X-ray image is NORMAL or shows signs of PNEUMONIA using a deep learning model (MedicalCNN). It provides both a Jupyter Notebook for model training and a Streamlit app for interactive predictions.

Features

  • Train a CNN model on chest X-ray images
  • Evaluate model performance (accuracy, confusion matrix, classification report)
  • Save and load trained model weights
  • Streamlit web app for image upload and disease prediction

Files

  • Disease_Detection.ipynb: Jupyter Notebook for data loading, training, and evaluation
  • app.py: Streamlit app for interactive predictions
  • Disease_Detection_model.pth: Trained model weights
  • requirements.txt: Python dependencies