CNN model to classify anemia from labeled eye-bag images. Performed EDA, image preprocessing, and model training.

Built a CNN model to classify anemia from labeled eye-bag images.
Performed exploratory data analysis (EDA) on the dataset.
Implemented image preprocessing techniques for better model performance.
Trained and evaluated the CNN model, achieving high accuracy.
Analyzed misclassified images to understand model limitations.
Gained experience in medical image analysis and deep learning with TensorFlow.