🧠 Brain Tumor Classifier - Deep Learning Model

A deep learning tool that detects and classifies brain tumors in MRI scans using a convolutional neural network (CNN).

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📋 Overview

This project provides a complete MRI brain tumor classification system. Upload an image, and the model will tell you if there's a tumor and what kind.

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🎯 Supported Diagnoses

The classifier predicts one of four possible categories:

• No Tumor
• Glioma
• Meningioma
• Pituitary Tumor

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📈 Model Performance

• Train Accuracy: 99%
• Test Accuracy: 95%

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📸 Application Interface

Initial interface:

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🏗️ Project Structure

Brain-Tumor-Classifier/
├── model.py               # CNN model definition
├── train.py               # Model training script
├── eval.py                # GUI and evaluation code
├── dataset.py             # Dataset loader
├── brain_tumor_cnn.pth    # Trained weights
└── data/                  # MRI Data)

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🚀 Getting Started

1. Install dependencies:

   pip install -r requirements.txt

2. Run the GUI app:

   python eval.py

3. Usage:

   • Click "Load MRI Image" and select your scan
   • Click "Classify Image" to see the prediction and confidence
   • Click "Clear" to upload another image

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