This project investigates the potential of deep learning to automatically identify and classify brain tumors from medical images. This could lead to faster and more accurate diagnoses, potentially improving patient outcomes.

A machine learning project for automated brain tumor detection and classification from MRI images. Implements CNN-based models to assist in early diagnosis and medical image analysis.

Synthetic brain-tumor dataset with patient demographics, clinical details, and multi-modal MRI images for research in medical image analysis, tumor detection, and classification using machine learning.

Developed an explainable AI framework integrating machine learning for accurate brain tumor MRI classification. Enhanced model transparency through interpretability techniques, enabling clinicians to understand decision logic and improve diagnostic reliability in medical image analysis.