EEGlas: an explainable EEG dashboard for dementia classification
EEGlas provides a full‑stack web app that lets clinicians upload EEG data, runs an xEEGNet model to distinguish Alzheimer’s and Frontotemporal Dementia, and visualizes model decisions with explainable heatmaps. The backend is a FastAPI service written in Python, while the frontend uses modern JavaScript tooling to render interactive charts. It targets researchers and clinicians needing transparent AI diagnostics, and stands out by integrating dataset handling, model inference, and explainability in one package.
View on GitHub →hereditary-eu/EEGlass