Welcome to the Cancer Detection App (CDA) repository! This app uses TensorFlow, Matplotlib, NumPy, and Pandas to detect cancer from the Human Against Machine 10000 dataset obtained from Kaggle.

The HAM10000 dataset is organized into the HAM10000 folder, containing various skin lesion images.

To handle imbalanced data, we used TensorFlow's ImageDataGenerator to generate additional data. The dataset is split into training, validation, and test sets using the flow_from_directory function.

The model is created using TensorFlow's Sequential API, consisting of convolutional layers for image analysis and dense layers for classification.

A user-friendly interface is provided through a while True loop, allowing users to interactively choose images. The selected image is then loaded, plotted using Matplotlib, and labeled as benign or malignant.

1. Clone the repository:

   [email protected]:VukIG/Cancer-Detection-AI.git

2. Install dependencies:

   pip install -r requirements.txt

3. Run the app:

   python interface.py

Feel free to contribute, report issues, or just explore the world of cancer detection with joy! 😄

Happy coding! 👩‍💻👨‍💻