An AI-driven system that tracks sleep cycles using motion and sound data to identify optimal wake-up windows, triggering gentle alarms during light sleep phases.

Enhances rest and alertness by aligning wake-up times with your brain’s natural rhythms.

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.

A personalized app that uses AI to deliver dynamic brain exercises targeting memory, attention, and problem-solving, adapting in real time to the user’s cognitive performance.

Boosts mental agility through neuroscience-driven, gamified workouts tailored by AI.

Demystify sleep brain patterns by automatically labeling sleep stages.

Download an open EEG sleep dataset (e.g., Sleep‑EDF), preprocess signals with MNE‑Python.

An AI-powered tool that analyzes facial cues, eye movement, and engagement levels through webcam input to assess real-time focus and attention span.

Empowers users to understand and improve their concentration using neuroscience-backed AI insights.

Improved Diagnosis: AI for accurate and early brain tumor detection.
Personalized Treatment: AI-powered prediction of optimal treatment plans.