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Brain Tumor Detection Using Machine Learning

Description

An AI-powered application that uses machine learning to analyze MRI images and detect brain tumors with high accuracy.

Features

• Upload MRI scans for analysis.
• Automatic tumor detection using trained models.
• Accuracy and performance metrics.

Technologies Used

• Machine Learning: Python (TensorFlow/Keras, Scikit-learn)
• Frontend: Streamlit for a user-friendly interface.
• Backend: Python
• Data: MRI scan dataset (include source if publicly available).

Setup Instructions

1. Clone the repository:

    git clone https://github.com/Youssif-Asaad-Sobhy/Brain-Tumor-Detection-Using-ML.git

2. Install dependencies:

    pip install -r requirements.txt

3. Run the application:

    streamlit run app.py

ScreenShots

Future Improvements

• Enhance model accuracy with larger datasets.
• Add support for other types of brain abnormalities.
• Deploy as a web or mobile application.

Contributions

• Contributions are welcome. Feel free to fork the repo and submit pull requests.