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Our project utilizes advanced machine learning algorithms to predict brain tumors. It can detect various types of brain tumors, including glioma, pituitary tumors, and more. If no tumor is detected, it provides a no tumor.

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Dheerajjha451/BrainTumor

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Brain Tumor Detection

Braintumor

Briantumor1

Description

Brain Tumor Detection is a web application that allows users to upload an image for prediction whether it contains a brain tumor or not. It utilizes machine learning models to analyze the uploaded images.

This project was built using React.js for the frontend, incorporating features such as image upload, prediction using a pre-trained model, and displaying results.

Features

  • Image upload for prediction
  • Display of prediction results (probability of tumor presence)
  • Responsive design using Tailwind CSS
  • Integration with machine learning model for prediction

Installation

To run this project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/Dheerajjha451/BrainTumor
    
  2. Navigate into the project directory:

    cd BrainTumor
  3. Install dependencies:

     npm install --force
  4. Start the development server:

    npm run dev

About

Our project utilizes advanced machine learning algorithms to predict brain tumors. It can detect various types of brain tumors, including glioma, pituitary tumors, and more. If no tumor is detected, it provides a no tumor.

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