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https://github.com/coderx0319/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.
https://github.com/coderx0319/brain_tumor_prediction

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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.

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# 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](https://drive.google.com/drive/folders/17WSYUf4B3Msd17lBpepwZmn_06WWVNkM?usp=drive_link)

## Model Training
To train the model, follow the steps outlined in the [`main.ipynb`](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:

```bash
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:
```bash
pip install -r requirements.txt

streamlit run app.py
```
## Author

This project was created by [Shantanu Vedante](https://github.com/coderx0319/). You can connect with me on [LinkedIn](https://www.linkedin.com/in/shantanuvedante23/) and follow me [[here](https://github.com/coderx0319)]