Brain Tumor Detection Web App

A modern, AI-powered web application for detecting brain tumors from MRI scans with 91% accuracy.

🚀 Features

• High Accuracy: Uses a custom CNN model with 91% accuracy.
• Instant Analysis: Real-time inference using FastAPI.
• Smart Preprocessing: Automatic brain region cropping and image enhancement.
• Modern UI: Clean, medical-grade interface built with React and TailwindCSS.
• Secure: Privacy-focused design with local processing capability.

🛠️ Tech Stack

• Frontend: React, Vite, TypeScript, TailwindCSS, Framer Motion
• Backend: FastAPI, TensorFlow/Keras, OpenCV
• Model: Convolutional Neural Network (CNN)

🏁 Getting Started

Prerequisites

• Python 3.8+
• Node.js 16+

1. Backend Setup

cd backend
pip install -r requirements.txt
python main.py

The API will be available at http://localhost:8000.

2. Frontend Setup

cd frontend
npm install
npm run dev

The web app will be available at http://localhost:5173.

📝 API Documentation

• POST /predict: Upload an image file to get a prediction.
• GET /health: Check API health status.

⚠️ Disclaimer

This tool is for educational and research purposes only. It is not intended to replace professional medical diagnosis.