Map the brain’s communication networks from resting‑state fMRI. Use public resting‑state fMRI data (e.g., from the Human Connectome Project),

Reveal the gap between chronological age and “brain age” to flag early neurodegeneration. Use public T1‑weighted MRI scans (e.g., OASIS or IXI datasets).

Aid early detection of neurodegeneration through ML analysis. Train an SVM or XGBoost model to distinguish mild cognitive impairment from healthy controls.

Demystify sleep brain patterns by automatically labeling sleep stages. Download an open EEG sleep dataset (e.g., Sleep‑EDF), preprocess signals with MNE‑Python.