Brain Tumor Detection Project

This project aims to detect brain tumors using a custom model. It includes a web-based front end built with Streamlit for user interaction and visualization.

Components

1. Front End (Front end/bratapp.py)

The bratapp.py file contains the Streamlit application for the front end. Users can interact with the brain tumor detection model through this web-based interface.

2. Model (Model/custom-model.h5)

The custom-model.h5 file represents the pre-trained custom model for brain tumor detection. This model is used in the Streamlit app for making predictions.

3. Notebook (Notebook/brain-tumor-detection.ipynb)

The brain-tumor-detection.ipynb notebook is where the brain tumor detection model was developed and trained.

How to Use

1. Install the required dependencies by running:

   pip install -r requirements.txt

2. Run the Streamlit app for the front end:

   streamlit run "Front end/bratapp.py"

3. Access the app in your browser at the provided URL (usually http://localhost:8501).

Note

• The requirements.txt file lists the project dependencies. Make sure to install them before running the Streamlit app.