Explainable AI for Brain Tumor Detection

Developed a deep learning pipeline to classify brain tumors from MRI scans. Applied preprocessing, feature engineering, model training, and evaluation using scikit-learn. Implemented explainability techniques (Grad-CAM, SHAP, LIME) to make model predictions interpretable.