Pneumonia and Brain Tumor Detection Web App

This web application is designed to detect pneumonia and brain tumors using Flask, HTML, CSS, and TensorFlow. It utilizes pre-trained deep learning models for predictions based on uploaded images.

Overview

The application has two main functionalities:

1. Pneumonia Detection

   • Allows users to upload chest X-ray images for pneumonia detection.
   • Uses a pre-trained model (best_model.h5) to predict pneumonia presence or absence.

2. Brain Tumor Detection

   • Provides a feature to upload brain MRI images for brain tumor detection.
   • Utilizes a pre-trained model (b11_model.h5) to predict the presence of a brain tumor.

Setup and Usage

Follow these steps to set up and run the application locally:

1. Installation

   • Ensure Python is installed on your system (Python 3.x recommended).
   • Install the required packages by running pip install -r requirements.txt.

2. Models

   • Place the pre-trained models (best_model.h5 and b11_model.h5) in the root directory.

3. Running the App

   • Start the Flask server by running python app.py.
   • Access the application through a web browser at http://localhost:5000.

Structure

• app.py: Contains the Flask application setup and routes for image uploads and predictions.
• index.html: Homepage template.
• pneumonia.html: Template for pneumonia detection.
• brain_tumor.html: Template for brain tumor detection.
• requirements.txt: Includes all necessary Python packages and their versions.

Note

• Development Server Warning: This app uses a development server. For production use, deploy the app using a production-ready WSGI server.
• Ensure proper error handling and security measures, especially when dealing with file uploads.

Contribution

Contributions are welcome! Feel free to open issues or submit pull requests for improvements or bug fixes.