Rancidgift57/NeuroLearn

BCI-powered adaptive learning platform that uses real-time EEG brainwave monitoring and eye tracking to detect student attention, then uses AI to dynamically reshape learning content for neurodiverse learners (ADHD & dyslexia). 96.4% classification accuracy.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

—

Category

eeg-brain-signal-processing

Last pushed

Mar 18, 2026

Commits (30d)

0

GitHub
EEG Brain Signal Processing · 198 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Rancidgift57/NeuroLearn"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

mne-tools/mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

88

NeuroTechX/moabb

Mother of All BCI Benchmarks

86

braindecode/braindecode

Deep learning software to decode EEG, ECG or MEG signals

85

neuromodulation/py_neuromodulation

Real-time analysis of intracranial neurophysiology recordings.

56

SheepTAO/dpeeg

Deep Learning with EEG.

52

Explore ML Frameworks

All categories Trending ML Framework directory Insights