🧠 Brain Tumor Detection Web App

A deep learning-based web application for classifying brain MRI images as Tumor or Normal using a Convolutional Neural Network (CNN). The project features a user-friendly interface built with Flask, allowing users to upload an image and receive an instant diagnosis.

---

🚀 Features

• ✅ Classify brain MRI images as Tumor or Normal
• 🧠 Uses a trained CNN model with Keras and TensorFlow
• 🌐 Web interface built using Flask
• 🖼️ Upload your own MRI scans for prediction
• 📦 Easy-to-run Python project

---

🧪 How to Run the App

1. Clone the Repository

2. Install Dependencies

Make sure you have Python 3.x installed.

pip install -r requirements.txt

3. Add the Trained Model

Place your trained model file as model.keras in the project root directory.

4. Run the Flask App

python main.py

5. Access the Web Interface

Go to: http://127.0.0.1:5000/

---

🧠 Model Details

• Input Shape: (224, 224, 3)
• Model Type: CNN
• Framework: Keras (TensorFlow backend)
• Trained On: Brain MRI Dataset (Tumor vs Normal)

---

📊 Dataset

You can use this public dataset:

• Brain MRI Images for Brain Tumor Detection (Kaggle)

---

🛠 Technologies Used

• Python
• Flask
• TensorFlow / Keras
• OpenCV
• HTML & CSS

---

📌 Requirements

Listed in requirements.txt:

Flask
tensorflow
keras
numpy
opencv-python