https://github.com/dheerajjha451/braintumor
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.
https://github.com/dheerajjha451/braintumor
braintumour collaborate fullstack hacktoberfest hacktoberfest-accepted hacktoberfest2024 hacktoberfest2024-accepted javascript machine-learning product react reactjs saas tailwindcss tensorflowjs top top1 top3 vite
Last synced: 20 days ago
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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.
- Host: GitHub
- URL: https://github.com/dheerajjha451/braintumor
- Owner: Dheerajjha451
- Created: 2024-06-29T10:26:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-29T09:10:11.000Z (about 1 year ago)
- Last Synced: 2025-08-29T04:18:26.636Z (about 1 month ago)
- Topics: braintumour, collaborate, fullstack, hacktoberfest, hacktoberfest-accepted, hacktoberfest2024, hacktoberfest2024-accepted, javascript, machine-learning, product, react, reactjs, saas, tailwindcss, tensorflowjs, top, top1, top3, vite
- Language: JavaScript
- Homepage: https://braintumor.designtocode.me/
- Size: 251 KB
- Stars: 9
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Brain Tumor Detection


## 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:
```bash
git clone https://github.com/Dheerajjha451/BrainTumor2. Navigate into the project directory:
```bash
cd BrainTumor
3. Install dependencies:
```bash
npm install --force
4. Start the development server:
```bash
npm run dev