This is a Next.js project bootstrapped with create-next-app.

MRI Tumor Classification API

This project is a full-stack web application that allows users to upload MRI scans and receive a PDF report classifying the scan into one of four categories: Glioma Tumor, Meningioma Tumor, Normal, or Pituitary Tumor.

The backend uses a pre-trained TensorFlow model served through a Flask API, while the frontend allows users to upload images and receive classification reports.

Model Performance

• Training Accuracy: 98.75%
• Testing Accuracy: 90%
• We are continuously working on improving the model to achieve better generalization and real-world performance.

Features

• Upload MRI scans: Users can upload images in .png, .jpg, or .jpeg formats.
• Automated classification: The API classifies the scan into one of the four categories.
• PDF report generation: The results are provided in a downloadable PDF format.

Installation

Clone the repository

git clone https://github.com/yourusername/yourprojectname.git
cd yourprojectname


## Getting Started

First, run the development server:

```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!