/Brain_Tumor_Prediction

This Streamlit app allows you to upload an MRI image and predict if there's a brain tumor or not. The app uses a trained Keras model to make the predictions.

Primary LanguageJupyter Notebook

Brain Tumor Detection Streamlit App

Description

This Streamlit app allows you to upload an MRI image and predict if there's a brain tumor or not. The app uses a trained Keras model to make the predictions.

Deploy the Model From here

[https://braintumorprediction-shantanucodes.streamlit.app/]

Dataset for Training the Model

To train the model, we used the MRI brain tumor dataset. You can download the dataset containing Images from the following link: Download Dataset

Model Training

To train the model, follow the steps outlined in the main.ipynb file.

Installation

To run the Streamlit app, you'll need to clone the repository and install the required Python packages. Use the following command to install the dependencies:

  1. Clone this repository to your local machine using the following command:

    gh repo clone knockcat/Brain-Tumor-Detection

cd Brain-Tumor-Detection

How to Use

To use the Brain Tumor Detection Streamlit App, follow these steps:

   pip install -r requirements.txt

   streamlit run app.py

Author

This project was created by Shantanu Vedante. You can connect with me on LinkedIn and follow me [here]