crazykaran/brain-tumor-detection-app

This project utilizes machine learning algorithms to detect the presence of brain tumors in medical images. Our user-friendly web interface allows users to upload MRI images, which are then analyzed by our trained model to provide accurate diagnosis results.

Brain Tumor Detection Web App

This is a web application built using Flask for detecting brain tumors from MRI images.

Features

• Upload MRI Images: Users can upload MRI images of the brain.
• Tumor Detection: The uploaded images are processed using a machine learning model to detect the presence of a brain tumor.
• Display Results: The application displays the prediction results to the user.

Installation

1. Clone the repository:

   git clone https://github.com/crazykaran/brain-tumor-detection-app.git

2. Navigate to the project directory:

   cd brain-tumor-detection-app

3. Install and create virtual environment:

   pip install virtualenv
   virtualenv env
   .\env\Scripts\activate.ps1

4. Install the dependencies:

   pip install -r requirements.txt

Usage

1. Start the Flask server:

   python app.py

2. Open your web browser and navigate to http://localhost:5000.

3. Upload an MRI image of the brain using the provided form.

4. Wait for the application to process the image and display the prediction results.

File Structure

• app.py: Main Flask application file.
• model/: Directory containing the trained machine learning model.
• static/: Directory for static files (e.g., CSS, JavaScript, images).
• templates/: Directory for HTML templates.

Dependencies

• Flask: Web framework for Python.
• Keras: Deep learning library.
• TensorFlow: Machine learning library.

Contributing

Contributions are welcome! Please create a pull request with your changes.

Screenshots

Landing Page

Uploaded a image

Brain tumer detected

No Brain Tumer Detected

No file selected

Deployment

Brain Tumer Detection App