TumorTrack AI

TumorTrack AI is a Transfer Learning based Brain Tumor Classification system capable of predicting type of brain tumor using MRI images.It is trained using Inception V3 architecture and has acquired an accuracy of 93.69% on the training dataset and 80.20% on the validation dataset.

How to Run

1. Install Dependencies: Make sure you have the necessary dependencies installed. You can install them using the following command:

   pip install -r requirements.txt
   

2. Run the Application: Run the Streamlit application using the following command:

   streamlit run app.py
   

3. Upload MRI Images: Once the application is running, upload an MRI image of the brain using the file uploader.

4. View Results: The application will process the uploaded image and display the predicted result indicating the type of tumor detected.

Screenshots

Caption: Upload an MRI image	Caption: Displaying the predicted result

Dataset

The Dataset used in this project is publicly available and can be downloaded from Kaggle.

License

This project is licensed under MIT License - see the LICENSE file for details.