🧠 Brain Tumor Classification Model

A deep learning model for detecting brain tumors from MRI scans.

🚀 Overview

This project leverages deep learning techniques to classify brain tumors from MRI images. Using Convolutional Neural Networks (CNNs), the model predicts whether an MRI scan indicates a tumor or not.

📌 Features

• Pretrained model using TensorFlow/Keras
• Image preprocessing with OpenCV & PIL
• Augmentation to improve model robustness
• CNN architecture for classification
• Performance evaluation with accuracy & confusion matrix

🔬 Technologies Used

• 🐍 Python
• 🧠 TensorFlow, Keras
• 📊 NumPy, Pandas, Matplotlib
• 📷 OpenCV, PIL

📊 Model Performance

              precision    recall  f1-score   support

           0       0.91      0.85      0.88       150
           1       0.83      0.85      0.84       153
           2       0.97      0.97      0.97       203
           3       0.95      0.99      0.97       150

    accuracy                           0.92       656
   macro avg       0.92      0.92      0.92       656
weighted avg       0.92      0.92      0.92       656

🤝 Contributing

Feel free to open an issue or submit a pull request to improve the project!

📜 License

This project is licensed under the MIT License.

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